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Vehicle Re-Identification
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Vehicle re-identification is the task of identifying the same vehicle across multiple cameras.
<span style="color:grey; opacity: 0.6">( Image credit: A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras )</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
CLIP-SENet: CLIP-based Semantic Enhancement Network for Vehicle Re-identification
Adaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID
Revisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification
Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification
UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking
Optimizing ROI Benefits Vehicle ReID in ITS
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification
Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification
Enhancing Vehicle Re-identification and Matching for Weaving Analysis
SemHARQ: Semantic-Aware HARQ for Multi-task Semantic Communications
Vision-based Vehicle Re-identification in Bridge Scenario using Flock Similarity
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges
Cluster images with AntClust: a clustering algorithm based on the chemical recognition system of ants
VehicleGAN: Pair-flexible Pose Guided Image Synthesis for Vehicle Re-identification
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
DSAM-GN:Graph Network based on Dynamic Similarity Adjacency Matrices for Vehicle Re-identification
Beyond Sharing Weights in Decoupling Feature Learning Network for UAV RGB-Infrared Vehicle Re-Identification
Strength in Diversity: Multi-Branch Representation Learning for Vehicle Re-Identification
Spatial-temporal Vehicle Re-identification
Rethinking Person Re-identification from a Projection-on-Prototypes Perspective
Large-scale Fully-Unsupervised Re-Identification
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks
A Novel Dual-pooling Attention Module for UAV Vehicle Re-identification
Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification
MSINet: Twins Contrastive Search of Multi-Scale Interaction for Object ReID
SIVD: Dataset of Iranian Vehicles for Real-Time Multi-Camera Video Tracking and Recognition
ConMAE: Contour Guided MAE for Unsupervised Vehicle Re-Identification
Self-supervised Geometric Features Discovery via Interpretable Attentio for Vehicle Re-Identification and Beyond (Complete Version)
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
Complete Solution for Vehicle Re-ID in Surround-view Camera System
CLIP-ReID: Exploiting Vision-Language Model for Image Re-Identification without Concrete Text Labels
Positive Pair Distillation Considered Harmful: Continual Meta Metric Learning for Lifelong Object Re-Identification
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities
Enhanced Vehicle Re-identification for ITS: A Feature Fusion approach using Deep Learning
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