Video Object Tracking
4개 벤치마크 · 논문 107편 · 이 태스크의 논문 보기 →
Benchmarks
Most implemented
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
TSM: Temporal Shift Module for Efficient Video Understanding
High-Speed Tracking with Kernelized Correlation Filters
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
Fully Convolutional Siamese Networks for Change Detection
Papers
Locate Anything in Videos: Rethinking Efficient Generative Spatio-Temporal Video Grounding
Spatio-temporal video grounding (STVG) requires models to identify when a referred event occurs and localize the target entity throughout that interval. Existing multimodal large language models typically serialize dense…
Spatio-Temporal Video GroundingVideo Object TrackingRethinking Object-Centric Representations for Video Dynamics Modeling
Unsupervised video object tracking aims to decompose dynamic scenes into persistent, object-centric entities without manual annotations. Many recent approaches rely on slot-based representations, where a fixed set of lat…
Video Object TrackingTetris: Tile-level Sampling for Efficient and High-Fidelity Video Object Tracking
Track materialization converts raw videos into reusable object tracks that downstream queries can run against without rerunning tracking, but extracting those tracks efficiently and with high fidelity remains expensive. …
Video Object TrackingSiamGM: Siamese Geometry-Aware and Motion-Guided Network for Real-Time Satellite Video Object Tracking
Single object tracking in satellite videos is inherently challenged by small target, blurred background, large aspect ratio changes, and frequent visual occlusions. These constraints often cause appearance-based trackers…
Video Object TrackingV$^{2}$-SAM: Marrying SAM2 with Multi-Prompt Experts for Cross-View Object Correspondence
Cross-view object correspondence, exemplified by the representative task of ego-exo object correspondence, aims to establish consistent associations of the same object across different viewpoints (e.g., egocentric and ex…
Video Object TrackingSatSAM2: Motion-Constrained Video Object Tracking in Satellite Imagery using Promptable SAM2 and Kalman Priors
Existing satellite video tracking methods often struggle with generalization, requiring scenario-specific training to achieve satisfactory performance, and are prone to track loss in the presence of occlusion. To address…
Video Object Tracking