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LaMOT: Language-Guided Multi-Object Tracking
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CGTrack: Cascade Gating Network with Hierarchical Feature Aggregation for UAV Tracking
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The Devil is in the Quality: Exploring Informative Samples for Semi-Supervised Monocular 3D Object Detection
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Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
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AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes
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VastTrack: Vast Category Visual Object Tracking
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Optical Flow as Spatial-Temporal Attention Learners
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Cyclic Refiner: Object-Aware Temporal Representation Learning for Multi-View 3D Detection and Tracking
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Beyond MOT: Semantic Multi-Object Tracking
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Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
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Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
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SiCP: Simultaneous Individual and Cooperative Perception for 3D Object Detection in Connected and Automated Vehicles
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Robust Domain Adaptive Object Detection with Unified Multi-Granularity Alignment
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Divert More Attention to Vision-Language Object Tracking
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Context-Guided Spatio-Temporal Video Grounding
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ProMotion: Prototypes As Motion Learners
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Kernel Adaptive Convolution for Scene Text Detection via Distance Map Prediction
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MaGIC: Multi-modality Guided Image Completion
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Local Compressed Video Stream Learning for Generic Event Boundary Detection
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SSPNet: Scale and Spatial Priors Guided Generalizable and Interpretable Pedestrian Attribute Recognition
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ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
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A Multi-granularity Decade-Long Geo-Tagged Twitter Dataset for Spatial Computing
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PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
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Collaborative Three-Stream Transformers for Video Captioning
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Unsupervised Domain Adaptive Detection with Network Stability Analysis
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Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers
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Accurate and Fast Compressed Video Captioning
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PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking
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AnimalTrack: A Benchmark for Multi-Animal Tracking in the Wild
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SwinTrack: A Simple and Strong Baseline for Transformer Tracking
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Divert More Attention to Vision-Language Tracking
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High-Fidelity Image Inpainting with GAN Inversion
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Towards Bridging the Distribution Gap: Instance to Prototype Earth Mover’s Distance for Distribution Alignment
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Detection and Tracking Meet Drones Challenge
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GL-GAN: Adaptive Global and Local Bilevel Optimization for Generative Adversarial Network
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Learning Target-aware Representation for Visual Tracking via Informative Interactions
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Transparent Object Tracking Benchmark
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CRACT: Cascaded Regression-Align-Classification for Robust Visual Tracking
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LaSOT: A High-quality Large-scale Single Object Tracking Benchmark
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ClsGAN: Selective Attribute Editing Based On Classification Adversarial Network
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TracKlinic: Diagnosis of Challenge Factors in Visual Tracking
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MART: Motion-Aware Recurrent Neural Network for Robust Visual Tracking
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Robust and Efficient Graph Correspondence Transfer for Person Re-identification
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Weighted Bilinear Coding Over Salient Body Parts for Person Re-identification
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Detection of Trabecular Landmarks for Osteoporosis Prescreening in Dental Panoramic Radiographs
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Clustered Object Detection in Aerial Images
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Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking
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LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking
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Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection
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Online Multi-Object Tracking with Instance-Aware Tracker and Dynamic Model Refreshment
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Parallel Tracking and Verifying
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Multi-level Contextual RNNs with Attention Model for Scene Labeling
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Graph Correspondence Transfer for Person Re-identification
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Parallel Tracking and Verifying: A Framework for Real-Time and High Accuracy Visual Tracking
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SANet: Structure-Aware Network for Visual Tracking
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Robust Visual Tracking via Local-Global Correlation Filter
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Robust Visual Tracking with Multitask Joint Dictionary Learning
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Cross Datasets Vegetation Detection with Spatial Prior and Local Context
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Algorithms and Benchmarks for Robust Visual Object Tracking
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