Papers with Code 아카이브
Visual Tracking
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Visual Tracking is an essential and actively researched problem in the field of computer vision with various real-world applications such as robotic services, smart surveillance systems, autonomous driving, and human-computer interaction. It refers to the automatic estimation of the trajectory of an arbitrary target object, usually specified by a bounding box in the first frame, as it moves around in subsequent video frames.
Source: Learning Reinforced Attentional Representation for End-to-End Visual Tracking
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/16lemoing/dot
공식 코드https://github.com/594422814/CF-VGG
공식 코드Real-Time Correlation Tracking via Joint Model Compression and Transfer
https://github.com/594422814/TransformerTrack
공식 코드Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking
https://github.com/594422814/UDT
공식 코드https://github.com/Amgao/RLS-RTMDNet
공식 코드Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking
https://github.com/BUGPLEASEOUT/LasHeR
공식 코드LasHeR: A Large-scale High-diversity Benchmark for RGBT Tracking
https://github.com/Breakend/TemporalYolo
공식 코드Underwater Multi-Robot Convoying using Visual Tracking by Detection
https://github.com/DLR-RM/3DObjectTracking/tree/master/SRT3D
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
https://github.com/Daikenan/LTMU
공식 코드https://github.com/GXNU-ZhongLab/EVPTrack
공식 코드https://github.com/IFICL/stereocrw
공식 코드https://github.com/JanghoonChoi/TACT
공식 코드https://github.com/JudasDie/SOTS
공식 코드Learn to Match: Automatic Matching Network Design for Visual Tracking
https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark
공식 코드https://github.com/LPXTT/GradNet-Pytorch
공식 코드https://github.com/LPXTT/GradNet-Tensorflow
공식 코드https://github.com/Little-Podi/AiATrack
공식 코드AiATrack: Attention in Attention for Transformer Visual Tracking
https://github.com/MCG-NJU/FCOT
공식 코드https://github.com/MCG-NJU/TREG
공식 코드https://github.com/MMarvasti/Deep-Learning-for-Visual-Tracking-Survey
공식 코드https://github.com/MahmudulHasan11085/Vision-Eagle-Attention
공식 코드Vision Eagle Attention: a new lens for advancing image classification
https://github.com/MasterBin-IIAU/AlphaRefine
공식 코드Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation
https://github.com/MasterBin-IIAU/UNINEXT
공식 코드Universal Instance Perception as Object Discovery and Retrieval
https://github.com/MegviiDetection/video_analyst
공식 코드SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
https://github.com/NathanUA/SalientClosedBoundaryTracking
공식 코드Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping
https://github.com/NathanUA/SalientClosedBoundaryTrackingDataset
공식 코드Real-Time Salient Closed Boundary Tracking via Line Segments Perceptual Grouping
https://github.com/Skylark0924/TendonTrack_PILCO
공식 코드Efficient reinforcement learning control for continuum robots based on Inexplicit Prior Knowledge
https://github.com/UZ-SLAMLab/SD-DefSLAM
공식 코드SD-DefSLAM: Semi-Direct Monocular SLAM for Deformable and Intracorporeal Scenes
https://github.com/VISION-SJTU/IoUattack
공식 코드IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking
https://github.com/VisualTrackingVLL/CHASE
공식 코드CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search
https://github.com/XU-TIANYANG/LADCF
공식 코드https://github.com/XingangPan/DragGAN
공식 코드Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
https://github.com/XuChenLong/LMTrack
공식 코드Less is More: Token Context-aware Learning for Object Tracking
https://github.com/Zhongdao/UniTrack
공식 코드Do Different Tracking Tasks Require Different Appearance Models?
https://github.com/alexadlu/after
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.