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VSLN: View‐aware sphere learning network for cross‐view vehicle re‐identification

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/int.22282openalex-snapshot
Optimal mixed block withholding attacks based on reinforcement learning
inferredcites →https://doi.org/10.1002/int.22337openalex-snapshot
ImpSuic: A quality updating rule in mixing coins with maximum utilities
inferredcites →https://doi.org/10.1002/int.22471openalex-snapshot
License plate recognition using neural architecture search for edge devices
inferredcites →https://doi.org/10.1002/int.22506openalex-snapshot
Topology and channel affinity reinforced global attention for person re‐identification
inferredcites →https://doi.org/10.1002/int.22841openalex-snapshot
Deep reinforcement learning‐based multitask hybrid computing offloading for multiaccess edge computing
inferredcites →https://doi.org/10.1002/int.22848openalex-snapshot
SARM: Service function chain active reconfiguration mechanism based on load and demand prediction
inferredcites →https://doi.org/10.1007/978-3-030-00764-5_32openalex-snapshot
SCAN: Spatial and Channel Attention Network for Vehicle Re-Identification
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot
CBAM: Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/978-3-030-37734-2_8openalex-snapshot
Background Segmentation for Vehicle Re-identification
inferredcites →https://doi.org/10.1007/978-3-030-58536-5_20openalex-snapshot
Orientation-Aware Vehicle Re-Identification with Semantics-Guided Part Attention Network
inferredcites →https://doi.org/10.1007/978-3-030-69532-3_3openalex-snapshot
Second-Order Camera-Aware Color Transformation for Cross-Domain Person Re-identification
inferredcites →https://doi.org/10.1007/978-3-030-87361-5_5openalex-snapshot
PST-NET: Point Cloud Sampling via Point-Based Transformer
inferredcites →https://doi.org/10.1007/978-3-319-46475-6_53openalex-snapshot
A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance
inferredcites →https://doi.org/10.1007/978-3-319-46478-7_31openalex-snapshot
A Discriminative Feature Learning Approach for Deep Face Recognition
inferredcites →https://doi.org/10.1007/s10462-020-09825-6openalex-snapshot
A survey of the recent architectures of deep convolutional neural networks
inferredcites →https://doi.org/10.1016/j.jvcir.2019.01.010openalex-snapshot
SphereReID: Deep hypersphere manifold embedding for person re-identification
inferredcites →https://doi.org/10.1109/avss.2017.8078501openalex-snapshot
Holistic recognition of low quality license plates by CNN using track annotated data
inferredcites →https://doi.org/10.1109/cvpr.2016.238openalex-snapshot
Deep Relative Distance Learning: Tell the Difference between Similar Vehicles
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.713openalex-snapshot
SphereFace: Deep Hypersphere Embedding for Face Recognition
inferredcites →https://doi.org/10.1109/cvpr.2018.00208openalex-snapshot
Triplet-Center Loss for Multi-view 3D Object Retrieval
inferredcites →https://doi.org/10.1109/cvpr.2018.00679openalex-snapshot
Viewpoint-Aware Attentive Multi-view Inference for Vehicle Re-identification
inferredcites →https://doi.org/10.1109/cvpr.2019.00412openalex-snapshot
Part-Regularized Near-Duplicate Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/cvpr.2019.00482openalex-snapshot
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
inferredcites →https://doi.org/10.1109/cvpr.2019.00900openalex-snapshot
CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00643openalex-snapshot
Circle Loss: A Unified Perspective of Pair Similarity Optimization
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00713openalex-snapshot
Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01357openalex-snapshot
DyGLIP: A Dynamic Graph Model with Link Prediction for Accurate Multi-Camera Multiple Object Tracking
inferredcites →https://doi.org/10.1109/iccv.2015.133openalex-snapshot
Scalable Person Re-identification: A Benchmark
inferredcites →https://doi.org/10.1109/iccv.2017.210openalex-snapshot
Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-Temporal Path Proposals
inferredcites →https://doi.org/10.1109/iccv.2017.49openalex-snapshot
Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification
inferredcites →https://doi.org/10.1109/iccv.2019.00030openalex-snapshot
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
inferredcites →https://doi.org/10.1109/iccv.2019.00623openalex-snapshot
A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/iccv.2019.00837openalex-snapshot
Vehicle Re-Identification With Viewpoint-Aware Metric Learning
inferredcites →https://doi.org/10.1109/iccv.2019.00844openalex-snapshot
ABD-Net: Attentive but Diverse Person Re-Identification
inferredcites →https://doi.org/10.1109/iccv48922.2021.01019openalex-snapshot
Refining activation downsampling with SoftPool
inferredcites →https://doi.org/10.1109/icme.2016.7553002openalex-snapshot
Large-scale vehicle re-identification in urban surveillance videos
inferredcites →https://doi.org/10.1109/icme.2018.8486589openalex-snapshot
RAM: A Region-Aware Deep Model for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/icme.2019.00148openalex-snapshot
Multi-View Learning for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/icpr48806.2021.9412206openalex-snapshot
An Empirical Analysis of Visual Features for Multiple Object Tracking in Urban Scenes
inferredcites →https://doi.org/10.1109/ijcnn.2019.8852059openalex-snapshot
Vehicle Re-identification: an Efficient Baseline Using Triplet Embedding
inferredcites →https://doi.org/10.1109/jiot.2021.3138534openalex-snapshot
CapBad: Content-Agnostic, Payload-Based Anomaly Detector for Industrial Control Protocols
inferredcites →https://doi.org/10.1109/tits.2020.3025387openalex-snapshot
VARID: Viewpoint-Aware Re-IDentification of Vehicle Based on Triplet Loss
inferredcites →https://doi.org/10.1109/tits.2020.3030301openalex-snapshot
Part-Guided Attention Learning for Vehicle Instance Retrieval
inferredcites →https://doi.org/10.1109/tits.2020.3042558openalex-snapshot
Model Latent Views With Multi-Center Metric Learning for Vehicle Re-Identification
inferredcites →https://doi.org/10.1109/tmm.2017.2751966openalex-snapshot
PROVID: Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance
inferredcites →https://doi.org/10.1109/tmm.2018.2796240openalex-snapshot
Group-Sensitive Triplet Embedding for Vehicle Reidentification
inferredcites →https://doi.org/10.1109/tpami.2021.3054775openalex-snapshot
Deep Learning for Person Re-Identification: A Survey and Outlook
inferredcites →https://doi.org/10.1145/3009977.3010052openalex-snapshot
Deep automatic license plate recognition system
inferredcites →https://doi.org/10.1145/3123266.3123359openalex-snapshot
NormFace
inferredcites →https://doi.org/10.1145/3394171.3413863openalex-snapshot
Traffic-Aware Multi-Camera Tracking of Vehicles Based on ReID and Camera Link Model
inferredcites →https://doi.org/10.1609/aaai.v34i07.6762openalex-snapshot
Domain Adaptive Attention Learning for Unsupervised Person Re-Identification
inferredcites →https://doi.org/10.48550/arxiv.1709.01507openalex-snapshot
Squeeze-and-Excitation Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-95-7750-7_3openalex-snapshot
Autonomous Swarm Embodied AI
inferred← citeshttps://doi.org/10.1007/s00500-022-07543-5openalex-snapshot
RS-TNet: point cloud transformer with relation-shape awareness for fine-grained 3D visual processing
inferred← citeshttps://doi.org/10.1007/s10489-022-03787-8openalex-snapshot
Enhanced spatial-temporal freedom for video frame interpolation
inferred← citeshttps://doi.org/10.1007/s11042-023-17397-0openalex-snapshot
Multi-camera trajectory matching based on hierarchical clustering and constraints
inferred← citeshttps://doi.org/10.1016/j.neucom.2022.10.080openalex-snapshot
End-to-end feature diversity person search with rank constraint of cross-class matrix
inferred← citeshttps://doi.org/10.1109/icme52920.2022.9859842openalex-snapshot
Camera-Aware Style Separation and Contrastive Learning for Unsupervised Person Re-Identification
inferred← citeshttps://doi.org/10.1109/itsc58415.2024.10920245openalex-snapshot
LSTV-V2V: A Large-Scale Traffic Virtual Dataset for Vehicle-to-Vehicle Cooperative Perception
inferred← citeshttps://doi.org/10.1109/mits.2023.3298534openalex-snapshot
Collaborative Perception in Autonomous Driving: Methods, Datasets, and Challenges
inferred← citeshttps://doi.org/10.1109/smc54092.2024.10831839openalex-snapshot
Enhancing Point Cloud Sampling Quality with Dual-Branch Fusion Networks
inferred← citeshttps://doi.org/10.1109/swc57546.2023.10448729openalex-snapshot
EMYOLO: Enhanced Multispectral YOLO for Robust Object Detection in Adverse Weather
inferred← citeshttps://doi.org/10.1109/tcsvt.2024.3418965openalex-snapshot
MMI-Det: Exploring Multi-Modal Integration for Visible and Infrared Object Detection
inferred← citeshttps://doi.org/10.1109/tiv.2023.3347267openalex-snapshot
A Blockchain-Enabled Distributed System for Trustworthy and Collaborative Intelligent Vehicle Re-Identification
inferred← citeshttps://doi.org/10.1109/tiv.2024.3403134openalex-snapshot
A Comprehensive Framework for 3D Occupancy Estimation in Autonomous Driving
inferred← citeshttps://doi.org/10.1117/1.jei.33.4.043037openalex-snapshot
FCCText: frequency-color complementary bistream structure for scene text detection
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