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Adaptive Distance-Based Iou Loss for Accurate and Efficient Bounding Box Regression

https://doi.org/10.2139/ssrn.4844798
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Monitoring and surveillance of urban road traffic using low altitude drone images: a deep learning approach
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The Pascal Visual Object Classes (VOC) Challenge
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CornerNet: Detecting Objects as Paired Keypoints
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Applications of machine vision in agricultural robot navigation: A review
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A deep learning method for oriented and small wheat spike detection (OSWSDet) in UAV images
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Dilated convolution based RCNN using feature fusion for Low-Altitude aerial objects
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IoU-aware single-stage object detector for accurate localization
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Deep learning-based object detection in low-altitude UAV datasets: A survey
inferredcites →https://doi.org/10.1016/j.imavis.2021.104197openalex-extracted
Feedback-driven loss function for small object detection
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A lightweight multi-scale aggregated model for detecting aerial images captured by UAVs
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Stereo CenterNet-based 3D object detection for autonomous driving
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Adaptive dense pyramid network for object detection in UAV imagery
inferredcites →https://doi.org/10.1016/j.neucom.2022.04.127openalex-extracted
Recent advances on loss functions in deep learning for computer vision
inferredcites →https://doi.org/10.1016/j.neucom.2022.05.052openalex-extracted
Manhattan-distance IOU loss for fast and accurate bounding box regression and object detection
inferredcites →https://doi.org/10.1016/j.neucom.2022.06.018openalex-extracted
Absolute size IoU loss for the bounding box regression of the object detection
inferredcites →https://doi.org/10.1016/j.neucom.2022.07.042openalex-extracted
Focal and efficient IOU loss for accurate bounding box regression
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Learning-based object detection and localization for a mobile robot manipulator in SME production
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The drone ambulance [A-UAS]: golden bullet or just a blank?
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Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges
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Vision-Based Real-Time Aerial Object Localization and Tracking for UAV Sensing System
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Rapid object detection using a boosted cascade of simple features
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ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.91openalex-extracted
You Only Look Once: Unified, Real-Time Object Detection
inferredcites →https://doi.org/10.1109/cvpr.2019.00075openalex-extracted
Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression
inferredcites →https://doi.org/10.1109/dcabes50732.2020.00014openalex-extracted
Performance Comparison of Small Object Detection Algorithms of UAV based Aerial Images
inferredcites →https://doi.org/10.1109/iccvw.2019.00011openalex-extracted
SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications
inferredcites →https://doi.org/10.1109/icra40945.2020.9196845openalex-extracted
AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance
inferredcites →https://doi.org/10.1109/mnet.011.2000643openalex-extracted
AI-Enabled Object Detection in UAVs: Challenges, Design Choices, and Research Directions
inferredcites →https://doi.org/10.1109/tcyb.2021.3095305openalex-extracted
Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation
inferredcites →https://doi.org/10.1109/tip.2020.3002345openalex-extracted
FoveaBox: Beyound Anchor-Based Object Detection
inferredcites →https://doi.org/10.1109/tnnls.2018.2876865openalex-extracted
Object Detection With Deep Learning: A Review
inferredcites →https://doi.org/10.1109/tpami.2015.2389824openalex-extracted
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
inferredcites →https://doi.org/10.1109/tpami.2015.2437384openalex-extracted
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
inferredcites →https://doi.org/10.1109/tpami.2016.2577031openalex-extracted
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
inferredcites →https://doi.org/10.1109/tpami.2018.2858826openalex-extracted
Focal Loss for Dense Object Detection
inferredcites →https://doi.org/10.1109/tpami.2021.3119563openalex-extracted
Detection and Tracking Meet Drones Challenge
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Airbus ship detection from satellite imagery using frequency domain learning
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Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
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A Novel YOLOv3 Algorithm-Based Deep Learning Approach for Waste Segregation: Towards Smart Waste Management
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Object Detection in UAV Images via Global Density Fused Convolutional Network
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Elongated Small Object Detection from Remote Sensing Images Using Hierarchical Scale-Sensitive Networks
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Deep Learning-Based Object Detection Techniques for Remote Sensing Images: A Survey
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Designing and Testing a UAV Mapping System for Agricultural Field Surveying
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UAV-YOLO: Small Object Detection on Unmanned Aerial Vehicle Perspective
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Hash-Based Deep Learning Approach for Remote Sensing Satellite Imagery Detection
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