Visual Object Tracking
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Benchmarks
LaSOT
GOT-10k
TrackingNet
LaSOT-ext
OTB-2015
TNL2K
UAV123
VOT2017/18
DiDi
NeedForSpeed
YouTube-VOS 2018
AVisT
OTB-2013
VOT2016
VOT2017
VOT2022
OTB-50
VOT2019
OTB-100
VOT2018
YouTube-VOS
ITB
TempleColor128
VOT2014
VideoCube
Most implemented
SSD: Single Shot MultiBox Detector
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
SAM 2: Segment Anything in Images and Videos
One-Shot Video Object Segmentation
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
Awesome Multi-modal Object Tracking
Papers
Rethinking Generic Object Tracking Toward Human-Level Perceptual Intelligence
At the heart of human visual perception lies the ability to maintain a continuous and coherent understanding of the external world. By integrating observations with accumulated experience, the human visual system can con…
Visual Object TrackingVisual TrackingSFDATrack: Generalized Source-Free Domain Adaptive Tracking Under Adverse Weather Conditions
Domain adaptive visual object tracking under adverse weather conditions has garnered significant attention in recent years. Despite the impressive performance, existing methods heavily rely on the large-scale video frame…
Visual Object TrackingSUMO: Segment and Track Any Motion with Nonlinear State Space Models
Visual Object Tracking (VOT) and Moving Object Segmentation (MOS) are two fundamental tasks in computer vision that involve both spatial and temporal object dynamics. Existing methods rely predominantly on visual cues an…
Visual Object TrackingObject SegmentationActive Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking
RGB-Event tracking improves localization robustness by fusing RGB appearance textures and dense temporal motion cues from event sensors. While this multi-modal scheme broadens tracking applicability, real-world scenes su…
Visual Object TrackingSENTRY: SAM2-Enhanced Neighbor-Aware and Temporally Reasoned Memory for Visual Tracking
We revisit the memory update mechanism in SAM2-based visual object tracking and identify confidence-only mask selection as the dominant cause of drift under occlusion, rapid motion, and distractors. We introduce SENTRY, …
Visual Object TrackingVisual TrackingA Theory-grounded Hybrid Neural Network Integrating Complementary Estimation Mechanisms for Stable Visual Object TrackingA
Hybrid neural networks (HNNs) that integrate artificial neural networks (ANNs) with brain-inspired neural networks have achieved broad success across perception and control tasks. However, much of the current success is …
Visual Object TrackingVisual Tracking