Papers Vehicle Re-Identification
“Vehicle Re-Identification” 태그가 달린 논문 159편 · 필터 해제
Benchmarking UAV-based Vehicle Re-Identification under Simulated Weather Conditions
UAV-based vehicle re-identification (ReID) has emerged as a promising technique for traffic surveillance, urban monitoring, and public-safety applications thanks to the flexible viewpoints and wide-area coverage provided…
Vehicle Re-IdentificationREMIND: RE-Identification with Memory for INDoor Navigation
Mobile robots operating indoors must re-identify previously observed objects after long temporal gaps, significant viewpoint changes, and severe illumination variations. This remains a challenging problem: multi-object t…
Video Object SegmentationVehicle Re-IdentificationMulti-Object TrackingGeneralization Limits in Vehicle Re-Identification
Vehicle re-identification focuses on retrieving images of the same vehicle from a gallery given a query image. Upon closer inspection of commonly used datasets, we observe that vehicles with few visual differences-e.g., …
Vehicle Re-IdentificationT2I-VeRW: Part-level Fine-grained Perception for Text-to-Image Vehicle Retrieval
Vehicle Re-identification (Re-ID) aims to retrieve the most similar image to a given query from images captured by non-overlapping cameras. Extending vehicle Re-ID from image-only queries to text-based queries enables re…
Vehicle Re-IdentificationVC-FeS: Viewpoint-Conditioned Feature Selection for Vehicle Re-identification in Thermal Vision
Identification of less-articulated objects using single-channel images, such as thermal images, is important in many applications, such as surveillance. However, in this domain, existing methods show poor performance due…
Vehicle Re-IdentificationDCG ReID: Disentangling Collaboration and Guidance Fusion Representations for Multi-modal Vehicle Re-Identification
Multi-modal vehicle Re-Identification (ReID) aims to leverage complementary information from RGB, Near Infrared (NIR), and Thermal Infrared (TIR) modalities to retrieve the same vehicle. The challenges of multi-modal veh…
Vehicle Re-IdentificationCALM-Net: Curvature-Aware LiDAR Point Cloud-based Multi-Branch Neural Network for Vehicle Re-Identification
This paper presents CALM-Net, a curvature-aware LiDAR point cloud-based multi-branch neural network for vehicle re-identification. The proposed model addresses the challenge of learning discriminative and complementary f…
Vehicle Re-IdentificationPoint CloudsCLIPVehicle: A Unified Framework for Vision-based Vehicle Search
Vehicles, as one of the most common and significant objects in the real world, the researches on which using computer vision technologies have made remarkable progress, such as vehicle detection, vehicle re-identificatio…
Vehicle Re-IdentificationPerson SearchRoundaboutHD: High-Resolution Real-World Urban Environment Benchmark for Multi-Camera Vehicle Tracking
The multi-camera vehicle tracking (MCVT) framework holds significant potential for smart city applications, including anomaly detection, traffic density estimation, and suspect vehicle tracking. However, current publicly…
Vehicle Re-IdentificationDensity EstimationAnomaly DetectionObject DetectionCORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble Fusion
This study presents CORE-ReID V2, an enhanced framework built upon CORE-ReID V1. The new framework extends its predecessor by addressing unsupervised domain adaptation (UDA) challenges in person ReID and vehicle ReID, wi…
Domain AdaptationPerson Re-IdentificationUnsupervised Domain AdaptationVehicle Re-IdentificationCollaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identification
The performance of multi-spectral vehicle Re-identification (ReID) is significantly degraded when some important discriminative cues in visible, near infrared and thermal infrared spectra are lost. Existing methods gener…
AllVehicle Re-IdentificationCLIP-SENet: CLIP-based Semantic Enhancement Network for Vehicle Re-identification
Vehicle re-identification (Re-ID) is a crucial task in intelligent transportation systems (ITS), aimed at retrieving and matching the same vehicle across different surveillance cameras. Numerous studies have explored met…
DescriptiveVehicle Re-IdentificationUCM-VeID V2: A Richer Dataset and A Pre-training Method for UAV Cross-Modality Vehicle Re-Identification
Cross-Modality Re-Identification (VI-ReID) aims to achieve around-the-clock target matching, benefiting from the strengths of both RGB and infrared (IR) modalities. However, the field is hindered by limited datasets…
Image ReconstructionSelf-Supervised LearningVehicle Re-IdentificationAdaptive Aspect Ratios with Patch-Mixup-ViT-based Vehicle ReID
Vision Transformers (ViTs) have shown exceptional performance in vehicle re-identification (ReID) tasks. However, non-square aspect ratios of image or video inputs can negatively impact re-identification accuracy. To add…
Vehicle Re-IdentificationRevisiting Multi-Granularity Representation via Group Contrastive Learning for Unsupervised Vehicle Re-identification
Vehicle re-identification (Vehicle ReID) aims at retrieving vehicle images across disjoint surveillance camera views. The majority of vehicle ReID research is heavily reliant upon supervisory labels from specific human-c…
Contrastive LearningDomain AdaptationUnsupervised Domain AdaptationUnsupervised Vehicle Re-Identification+1Multimodality Adaptive Transformer and Mutual Learning for Unsupervised Domain Adaptation Vehicle Re-Identification
Unsupervised Domain Adaptation Vehicle Re-Identification (UDA vehicle re-ID) aims to enable the model trained in the source domain dataset to adapt to the target domain data and obtain accurate re-identification results,…
AttributeDomain AdaptationPseudo LabelUnsupervised Domain Adaptation+1UAV (Unmanned Aerial Vehicles): Diverse Applications of UAV Datasets in Segmentation, Classification, Detection, and Tracking
Unmanned Aerial Vehicles (UAVs), have greatly revolutionized the process of gathering and analyzing data in diverse research domains, providing unmatched adaptability and effectiveness. This paper presents a thorough exa…
Gesture RecognitionObject RecognitionPose EstimationSemantic Segmentation+1Optimizing ROI Benefits Vehicle ReID in ITS
Vehicle re-identification (ReID) is a computer vision task that matches the same vehicle across different cameras or viewpoints in a surveillance system. This is crucial for Intelligent Transportation Systems (ITS), wher…
Clusteringvehicle detectionVehicle Re-IdentificationStudy on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification
Vision Transformers (ViTs) have excelled in vehicle re-identification (ReID) tasks. However, non-square aspect ratios of image or video input might significantly affect the re-identification performance. To address this …
Vehicle Re-IdentificationUnity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification
Generalizable vehicle re-identification (ReID) aims to enable the well-trained model in diverse source domains to broadly adapt to unknown target domains without additional fine-tuning or retraining. However, it still fa…
DiversityRepresentation LearningUnityVehicle Re-Identification