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Video Object Tracking

Video Object Detection aims to detect targets in videos using both spatial and temporal information. It's usually deeply integrated with tasks such as Object Detection and Object Tracking.

Papers

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Showing 11–20 of 98 papers

TitleStatusHype
Towards Grand Unification of Object TrackingCode2
Video Polyp Segmentation: A Deep Learning PerspectiveCode2
Joint Feature Learning and Relation Modeling for Tracking: A One-Stream FrameworkCode2
MixFormer: End-to-End Tracking with Iterative Mixed AttentionCode2
Fast Online Object Tracking and Segmentation: A Unifying ApproachCode2
HiM2SAM: Enhancing SAM2 with Hierarchical Motion Estimation and Memory Optimization towards Long-term TrackingCode1
Referring Video Object Segmentation via Language-aligned Track SelectionCode1
Teaching VLMs to Localize Specific Objects from In-context ExamplesCode1
NT-VOT211: A Large-Scale Benchmark for Night-time Visual Object TrackingCode1
Depth Attention for Robust RGB TrackingCode1
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