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MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-10584-0_20openalex-snapshot
Simultaneous Detection and Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-10590-1_53openalex-snapshot
Visualizing and Understanding Convolutional Networks
inferredcites →https://doi.org/10.1007/978-3-319-10599-4_7openalex-snapshot
Facial Landmark Detection by Deep Multi-task Learning
inferredcites →https://doi.org/10.1007/978-3-319-24574-4_28openalex-snapshot
U-Net: Convolutional Networks for Biomedical Image Segmentation
inferredcites →https://doi.org/10.1007/978-3-319-46448-0_5openalex-snapshot
Learning to Refine Object Segments
inferredcites →https://doi.org/10.1007/s11263-014-0733-5openalex-snapshot
The Pascal Visual Object Classes Challenge: A Retrospective
inferredcites →https://doi.org/10.1007/s11263-015-0816-yopenalex-snapshot
ImageNet Large Scale Visual Recognition Challenge
inferredcites →https://doi.org/10.1109/cvpr.2008.4587586openalex-snapshot
Beyond sliding windows: Object localization by efficient subwindow search
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2012.6248074openalex-snapshot
Are we ready for autonomous driving? The KITTI vision benchmark suite
inferredcites →https://doi.org/10.1109/cvpr.2014.276openalex-snapshot
Scalable Object Detection Using Deep Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2014.81openalex-snapshot
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
inferredcites →https://doi.org/10.1109/cvpr.2015.7298667openalex-snapshot
Rotating your face using multi-task deep neural network
inferredcites →https://doi.org/10.1109/cvpr.2015.7298965openalex-snapshot
Fully convolutional networks for semantic segmentation
inferredcites →https://doi.org/10.1109/cvpr.2016.236openalex-snapshot
Monocular 3D Object Detection for Autonomous Driving
inferredcites →https://doi.org/10.1109/cvpr.2016.255openalex-snapshot
End-to-End People Detection in Crowded Scenes
inferredcites →https://doi.org/10.1109/cvpr.2016.343openalex-snapshot
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-snapshot
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/iccv.2015.135openalex-snapshot
Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model
inferredcites →https://doi.org/10.1109/iccv.2015.178openalex-snapshot
Learning Deconvolution Network for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.179openalex-snapshot
Conditional Random Fields as Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/icip.2013.6738831openalex-snapshot
Fast image scanning with deep max-pooling convolutional neural networks
inferredcites →https://doi.org/10.1109/icra.2017.7989744openalex-snapshot
Find your way by observing the sun and other semantic cues
inferredcites →https://doi.org/10.1109/itsc.2013.6728473openalex-snapshot
A new performance measure and evaluation benchmark for road detection algorithms
inferredcites →https://doi.org/10.1109/itsc.2017.8317901openalex-snapshot
Deep fully convolutional networks with random data augmentation for enhanced generalization in road detection
inferredcites →https://doi.org/10.1109/ivs.2016.7535374openalex-snapshot
Map-supervised road detection
inferredcites →https://doi.org/10.1109/ivs.2017.7995848openalex-snapshot
Fast LIDAR-based road detection using fully convolutional neural networks
inferredcites →https://doi.org/10.1109/tpami.2015.2465908openalex-snapshot
What Makes for Effective Detection Proposals?
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-snapshot
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2016.2644615openalex-snapshot
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
inferredcites →https://doi.org/10.1109/tpami.2017.2699184openalex-snapshot
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
inferredcites →https://doi.org/10.1109/tpami.2017.2781233openalex-snapshot
HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
inferredcites →https://doi.org/10.1145/3065386openalex-snapshot
ImageNet classification with deep convolutional neural networks
inferredcites →https://doi.org/10.1177/0278364913491297openalex-snapshot
Vision meets robotics: The KITTI dataset
inferredcites →https://doi.org/10.3115/v1/n15-1092openalex-snapshot
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1411.4101openalex-snapshot
Deep Deconvolutional Networks for Scene Parsing
inferredcites →https://doi.org/10.48550/arxiv.1412.4526openalex-snapshot
Highly Efficient Forward and Backward Propagation of Convolutional Neural Networks for Pixelwise Classification
inferredcites →https://doi.org/10.48550/arxiv.1412.7062openalex-snapshot
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
inferredcites →https://doi.org/10.48550/arxiv.1502.02734openalex-snapshot
Weakly- and Semi-Supervised Learning of a DCNN for Semantic Image Segmentation
inferredcites →https://doi.org/10.48550/arxiv.1503.02351openalex-snapshot
Fully Connected Deep Structured Networks
inferredcites →https://doi.org/10.48550/arxiv.1602.05110openalex-snapshot
Generating images with recurrent adversarial networks
inferredcites →https://doi.org/10.48550/arxiv.1603.07285openalex-snapshot
A guide to convolution arithmetic for deep learning
inferredcites →https://doi.org/10.48550/arxiv.1611.10080openalex-snapshot
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
inferredcites →https://doi.org/10.48550/arxiv.1709.04821openalex-snapshot
MODNet: Moving Object Detection Network with Motion and Appearance for Autonomous Driving
inferredcites →https://doi.org/10.5244/c.28.24openalex-snapshot
How good are detection proposals, really?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Nightseg: Enhancing Nighttime Segmentation by Emphasizing Boundaries in Common Domain
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Enabling Pedestrian Safety Using Computer Vision Techniques: A Case Study of the 2018 Uber Inc. Self-driving Car Crash
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Deep Neural Networks for Diagnosis of Osteoporosis: A Review
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Semantic Segmentation of Images Obtained by Remote Sensing of the Earth
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Low-Complexity Scene Understanding Network
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Adaptive Online Learning for Video Object Segmentation
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DasNet: Dynamic Adaptive Structure for Accelerating Multi-task Convolutional Neural Network
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SO-Net: Joint Semantic Segmentation and Obstacle Detection Using Deep Fusion of Monocular Camera and Radar
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Meta Learning and the AI Learning Process
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Towards Using Probabilistic Models to Design Software Systems with Inherent Uncertainty
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Meta Learning and the AI Learning Process
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Semantic Segmentation and Depth Estimation with RGB and DVS Sensor Fusion for Multi-view Driving Perception
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FasterVideo: Efficient Online Joint Object Detection and Tracking
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Real-Time Multi-task Network for Autonomous Driving
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Multi-input Convolutional Neural Networks in Real-Time Semantic Segmentation Tasks
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An Improved Lightweight Network Based on YOLOv5s for Object Detection in Autonomous Driving
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GIGO, Garbage In, Garbage Out: An Urban Garbage Classification Dataset
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A Novel RGB-T Based Real-Time Road Detection on Low Cost Embedded Devices
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FL Applications in Smart Mobility
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SmartDriveNet: an integrated approach for robust driving perception in unstructured environments and adverse weather conditions
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Enhanced multi-scale networks for semantic segmentation
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Deep monocular depth estimation leveraging a large-scale outdoor stereo dataset
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Multi-Feature Fusion Method for Identifying Carotid Artery Vulnerable Plaque
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Self-attention feature fusion network for semantic segmentation
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A joint object detection and semantic segmentation model with cross-attention and inner-attention mechanisms
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.09.042openalex-snapshot
Leveraging convergence behavior to balance conflicting tasks in multi-task learning
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.131089openalex-snapshot
Wavelet-driven multi-frequency signal unlocking network for image deraining
inferred← citeshttps://doi.org/10.1016/j.oceaneng.2026.128034openalex-snapshot
DualSeg26: Instance segmentation of ice and snow thickness sections from shipborne imagery with task-decoupled feature pyramids
inferred← citeshttps://doi.org/10.1016/j.patcog.2019.107141openalex-snapshot
A fusion network for road detection via spatial propagation and spatial transformation
inferred← citeshttps://doi.org/10.1016/j.procs.2025.07.084openalex-snapshot
Road Scene Analysis for Autonomous Vehicle
inferred← citeshttps://doi.org/10.1016/j.swevo.2026.102385openalex-snapshot
Towards evolution-based multi-level collaborative multi-task sparse learning
inferred← citeshttps://doi.org/10.1016/j.trc.2021.103288openalex-snapshot
Multi-scale driver behavior modeling based on deep spatial-temporal representation for intelligent vehicles
inferred← citeshttps://doi.org/10.1016/j.vlsi.2026.102899openalex-snapshot
Towards efficient hardware acceleration on Zynq Ultrascale+ MPSoC based Kria KV260 FPGA board for ADAS: A hybrid co-design approach for real-time computing
inferred← citeshttps://doi.org/10.1017/atsip.2020.21openalex-snapshot
Ground-distance segmentation of 3D LiDAR point cloud toward autonomous driving
inferred← citeshttps://doi.org/10.1038/s41598-022-14438-wopenalex-snapshot
LiDAR–camera fusion for road detection using a recurrent conditional random field model
inferred← citeshttps://doi.org/10.1038/s41598-022-23546-6openalex-snapshot
Autonomous driving using imitation learning with look ahead point for semi structured environments
inferred← citeshttps://doi.org/10.1038/s41598-025-90518-xopenalex-snapshot
Semantic segmentation feature fusion network based on transformer
inferred← citeshttps://doi.org/10.1049/iet-ipr.2018.6696openalex-snapshot
Combination of modified U‐Net and domain adaptation for road detection
inferred← citeshttps://doi.org/10.1049/iet-its.2018.5144openalex-snapshot
DeepRange: deep‐learning‐based object detection and ranging in autonomous driving
inferred← citeshttps://doi.org/10.1049/iet-its.2018.5171openalex-snapshot
Traffic sign recognition using weighted multi‐convolutional neural network
inferred← citeshttps://doi.org/10.1049/iet-its.2018.5576openalex-snapshot
Unstructured road detection via combining the model‐based and feature‐based methods
inferred← citeshttps://doi.org/10.1049/ipr2.12157openalex-snapshot
A two‐scaled fully convolutional learning network for road detection
inferred← citeshttps://doi.org/10.1049/ipr2.12556openalex-snapshot
FishNet: Fish visual recognition with one stage multi‐task learning
inferred← citeshttps://doi.org/10.1049/ipr2.12625openalex-snapshot
SA‐BiSeNet: Swap attention bilateral segmentation network for real‐time inland waterways segmentation
inferred← citeshttps://doi.org/10.1049/ipr2.70410openalex-snapshot
An Improved UNet Architecture With Convolutional Block Attention Module (CBAM) for Road Segmentation in Autonomous Driving
inferred← citeshttps://doi.org/10.1049/itr2.70309openalex-snapshot
YOLOP‐FCD: A Multi‐Task Visual Perception Network with Progressive Feature Decoupling and Attention Synergy for Autonomous Driving
inferred← citeshttps://doi.org/10.1049/wss2.70001openalex-snapshot
PyQt5‐powered frontend for advanced YOLOv8 vehicle detection in challenging backgrounds
inferred← citeshttps://doi.org/10.1051/e3sconf/202020503007openalex-snapshot
Deep learning for extracting micro-fracture: Pixel-level detection by convolutional neural network
inferred← citeshttps://doi.org/10.1061/(asce)co.1943-7862.0002171openalex-snapshot
CLOI: An Automated Benchmark Framework for Generating Geometric Digital Twins of Industrial Facilities
inferred← citeshttps://doi.org/10.1061/(asce)cp.1943-5487.0000831openalex-snapshot
Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.1080/09540091.2022.2159333openalex-snapshot
FPGA-oriented lightweight multi-modal free-space detection network
inferred← citeshttps://doi.org/10.1088/2632-2153/ab6d5eopenalex-snapshot
Deep learning-guided surface characterization for autonomous hydrogen lithography
inferred← citeshttps://doi.org/10.1108/ir-08-2018-0176openalex-snapshot
Wheelchair robot navigation in different weather conditions using deep learning and evolved neural controller
inferred← citeshttps://doi.org/10.1109/access.2018.2875412openalex-snapshot
Deep Semantic Segmentation in an AUV for Online Posidonia Oceanica Meadows Identification
inferred← citeshttps://doi.org/10.1109/access.2019.2930593openalex-snapshot
Sclera-Net: Accurate Sclera Segmentation in Various Sensor Images Based on Residual Encoder and Decoder Network
inferred← citeshttps://doi.org/10.1109/access.2019.2941026openalex-snapshot
Performance Analysis of Semantic Segmentation Algorithms for Finely Annotated New UAV Aerial Video Dataset (ManipalUAVid)
inferred← citeshttps://doi.org/10.1109/access.2020.2993578openalex-snapshot
LiDAR-Based Multi-Task Road Perception Network for Autonomous Vehicles
inferred← citeshttps://doi.org/10.1109/access.2020.3024658openalex-snapshot
A Viewpoint Aware Multi-Task Learning Framework for Fine-Grained Vehicle Recognition
inferred← citeshttps://doi.org/10.1109/access.2020.3026347openalex-snapshot
Simple But Effective Scale Estimation for Monocular Visual Odometry in Road Driving Scenarios
inferred← citeshttps://doi.org/10.1109/access.2020.3037705openalex-snapshot
Attacks on Self-Driving Cars and Their Countermeasures: A Survey
inferred← citeshttps://doi.org/10.1109/access.2021.3059496openalex-snapshot
Urban Intersection Signal Control Based on Time-Space Resource Scheduling
inferred← citeshttps://doi.org/10.1109/access.2021.3068991openalex-snapshot
MTSAN: Multi-Task Semantic Attention Network for ADAS Applications
inferred← citeshttps://doi.org/10.1109/access.2021.3073715openalex-snapshot
End to End Segmentation of Canola Field Images Using Dilated U-Net
inferred← citeshttps://doi.org/10.1109/access.2021.3085218openalex-snapshot
Empirical Study of Multi-Task Hourglass Model for Semantic Segmentation Task
inferred← citeshttps://doi.org/10.1109/access.2021.3122894openalex-snapshot
Height Prediction and Refinement From Aerial Images With Semantic and Geometric Guidance
inferred← citeshttps://doi.org/10.1109/access.2023.3237025openalex-snapshot
Domain Adaptation: Challenges, Methods, Datasets, and Applications
inferred← citeshttps://doi.org/10.1109/access.2023.3263561openalex-snapshot
Counterfactual Balancing Feature Alignment for Few-Shot Cross-Domain Scene Parsing
inferred← citeshttps://doi.org/10.1109/access.2023.3294256openalex-snapshot
A Comprehensive Survey on Software as a Service (SaaS) Transformation for the Automotive Systems
inferred← citeshttps://doi.org/10.1109/access.2023.3300379openalex-snapshot
Real-Time Multi-Task ADAS Implementation on Reconfigurable Heterogeneous MPSoC Architecture
inferred← citeshttps://doi.org/10.1109/access.2024.3354379openalex-snapshot
Scenario-Based Segmentation: Traffic Image Segmentation by GNN Based Driver’s Scenario
inferred← citeshttps://doi.org/10.1109/access.2024.3402239openalex-snapshot
Optimizing Monocular Driving Assistance for Real-Time Processing on Jetson AGX Xavier
inferred← citeshttps://doi.org/10.1109/access.2024.3443148openalex-snapshot
A Unified Framework for Depth-Assisted Monocular Object Pose Estimation
inferred← citeshttps://doi.org/10.1109/access.2024.3455335openalex-snapshot
Scenario-Risk Net: A Comprehensive Approach to Understanding Mesoscopic Risk Scene in Autonomous Driving
inferred← citeshttps://doi.org/10.1109/access.2025.3552088openalex-snapshot
TriLiteNet: Lightweight Model for Multi-Task Visual Perception
inferred← citeshttps://doi.org/10.1109/access.2025.3583341openalex-snapshot
YLOMF: You Look Once for Multi-Feature—A Multi-Feature Multi-Task Network for Intelligent Real-Time Perception in Autonomous Driving
inferred← citeshttps://doi.org/10.1109/access.2026.3655826openalex-snapshot
A Unified Lightweight Network for Complex Scene Image Understanding via Multi-Task Joint Learning
inferred← citeshttps://doi.org/10.1109/access.2026.3658687openalex-snapshot
Multi-Task FT-Transformer: A High-Performance and Interpretable Framework for Traffic Accident Severity Prediction
inferred← citeshttps://doi.org/10.1109/access.2026.3682231openalex-snapshot
A Canonical Computational Intelligence Framework for Adaptive Traffic Volume and Density Estimation From Legacy Analog Surveillance Systems
inferred← citeshttps://doi.org/10.1109/acpr.2017.92openalex-snapshot
Robust Lane Detection and Tracking with Propagated Spatio-temporal Constraints
inferred← citeshttps://doi.org/10.1109/aicit62434.2024.10730709openalex-snapshot
Multitask Driving Perception Method Based on Improved YOLOv8
inferred← citeshttps://doi.org/10.1109/ainit59027.2023.10212696openalex-snapshot
Research on Enhanced Multi-Task Traffic Scene Object Detection and Classification Method Based on YOLOv5
inferred← citeshttps://doi.org/10.1109/aipmv67185.2025.11290056openalex-snapshot
YOLOMP: Fast and Balanced Multi-Task Perception for Autonomous Driving
inferred← citeshttps://doi.org/10.1109/aitest70988.2026.00032openalex-snapshot
Improving Robustness of Semantic Segmentation for Autonomous Driving: A Case Study
inferred← citeshttps://doi.org/10.1109/bigcom57025.2022.00034openalex-snapshot
Food Recognition Model Based on Deep Learning and Attention Mechanism
inferred← citeshttps://doi.org/10.1109/bigcom57025.2022.00048openalex-snapshot
Food Recognition Model Based on Deep Learning and Attention Mechanism
inferred← citeshttps://doi.org/10.1109/cac53003.2021.9727615openalex-snapshot
A Lane Segmentation and Traffic Object Detection Multi-task Neural Network for AR-HUD
inferred← citeshttps://doi.org/10.1109/cac63892.2024.10864568openalex-snapshot
DSMT: RGB-D Dual-Stream Multi-Task Model for Multi-Granularity Semantic Understanding
inferred← citeshttps://doi.org/10.1109/cacre52464.2021.9501344openalex-snapshot
Improved real-time joint object detection and road segmentation multi-task network
inferred← citeshttps://doi.org/10.1109/case48305.2020.9217016openalex-snapshot
Semantic segmentation with Improved Edge Detail for Autonomous Vehicles
inferred← citeshttps://doi.org/10.1109/case59546.2024.10711541openalex-snapshot
Integrating Occupancy Grid with Semantic Road Information for Autonomous Navigation in Urban Scenarios: A Benchmark Study
inferred← citeshttps://doi.org/10.1109/ccdc69976.2026.11560498openalex-snapshot
AppNets: An Efficient Multi-Task Fusion Network for Comprehensive Driving Perception
inferred← citeshttps://doi.org/10.1109/ccgrid54584.2022.00051openalex-snapshot
Accelerating Neural Network Training with Processing-in-Memory GPU
inferred← citeshttps://doi.org/10.1109/ccis53392.2021.9754530openalex-snapshot
Research on Multi-task Deep Learning Approach Based on Hybrid Sharing and Network Optimization
inferred← citeshttps://doi.org/10.1109/ccnc46108.2020.9045110openalex-snapshot
Leveraging Privileged Information to Limit Distraction in End-to-End Lane Following
inferred← citeshttps://doi.org/10.1109/conecct68978.2026.11700680openalex-snapshot
A System-Level Comparative Evaluation of Real-Time Edge AI Workloads on Raspberry Pi 5 and Jetson Orin Nano
inferred← citeshttps://doi.org/10.1109/crv50864.2020.00015openalex-snapshot
Geometry-Guided Adaptation for Road Segmentation
inferred← citeshttps://doi.org/10.1109/cvci51460.2020.9338621openalex-snapshot
Intelligent Vehicle Environment Scene Parsing Method Based on Multi-tasking Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/cvidliccea56201.2022.9824515openalex-snapshot
An Improved Object Detection of Image Based on Multi-task Learning
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00077openalex-snapshot
PAD-Net: Multi-tasks Guided Prediction-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00192openalex-snapshot
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal
inferred← citeshttps://doi.org/10.1109/cvpr.2018.00781openalex-snapshot
Multi-task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00757openalex-snapshot
Triply Supervised Decoder Networks for Joint Detection and Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr.2019.00942openalex-snapshot
Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00406openalex-snapshot
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.00837openalex-snapshot
Multi-Scale Progressive Fusion Network for Single Image Deraining
inferred← citeshttps://doi.org/10.1109/cvpr42600.2020.01368openalex-snapshot
Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00465openalex-snapshot
Deep Multi-Task Learning for Joint Localization, Perception, and Prediction
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.00941openalex-snapshot
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
inferred← citeshttps://doi.org/10.1109/cvpr46437.2021.01528openalex-snapshot
Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation
inferred← citeshttps://doi.org/10.1109/cvpr52688.2022.00412openalex-snapshot
Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing
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