https://github.com/tub-rip/motionpriorcmax
공식 코드Motion-prior Contrast Maximization for Dense Continuous-Time Motion Estimation
Papers with Code 아카이브
Visual Tracking
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 4
- 평가표
- 10
- 보존된 평가 기록
- 19
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/vision4robotics/AutoTrack
공식 코드https://github.com/vision4robotics/BEVT-tracker
공식 코드https://github.com/vision4robotics/DCFTracking4UAV
공식 코드https://github.com/vision4robotics/JSAR-Tracker
공식 코드https://github.com/vision4robotics/KAOT-tracker
공식 코드https://github.com/vision4robotics/LAE-PVT-master
공식 코드Predictive Visual Tracking: A New Benchmark and Baseline Approach
https://github.com/vision4robotics/MSCF-tracker
공식 코드Mutation Sensitive Correlation Filter for Real-Time UAV Tracking with Adaptive Hybrid Label
https://github.com/vision4robotics/SiamAPN
공식 코드Siamese Anchor Proposal Network for High-Speed Aerial Tracking
https://github.com/vision4robotics/TACF-Tracker
공식 코드Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters
https://github.com/vision4robotics/ad2attack
공식 코드Ad2Attack: Adaptive Adversarial Attack on Real-Time UAV Tracking
https://github.com/vision4robotics/sct
공식 코드Tracker Meets Night: A Transformer Enhancer for UAV Tracking
https://github.com/vision4robotics/tctrack
공식 코드https://github.com/visionml/pytracking
공식 코드https://github.com/visiotec/vtec_ros
공식 코드Towards a Unified Approach to Homography Estimation Using Image Features and Pixel Intensities
https://github.com/wang-chen/KCC
공식 코드https://github.com/wangbiao2/r1-track
공식 코드R1-Track: Direct Application of MLLMs to Visual Object Tracking via Reinforcement Learning
https://github.com/wangdongdut/Long-term-Visual-Tracking
공식 코드https://github.com/wangsr126/mae-lite
공식 코드https://github.com/wangxiao5791509/MFG_RGBT_Tracking_PyTorch
공식 코드MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
https://github.com/wangxiao5791509/Single_Object_Tracking_Paper_List
공식 코드Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
https://github.com/wangxiao5791509/TNL2K_evaluation_toolkit
공식 코드Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark
https://github.com/wangxiao5791509/VisEvent_SOT_Benchmark
공식 코드Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
https://github.com/wenbowen123/BundleTrack
공식 코드BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models
https://github.com/wenbowen123/catgrasp
공식 코드You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration
https://github.com/wencheng256/SiamBAN-ACM
공식 코드Learning to Fuse Asymmetric Feature Maps in Siamese Trackers
https://github.com/wenruicai/hiptrack
공식 코드https://github.com/wenruicai/spmtrack
공식 코드https://github.com/weslee88524/lg-mot
공식 코드https://github.com/wqw123wqw/pftrack
공식 코드Visible-Thermal Multiple Object Tracking: Large-scale Video Dataset and Progressive Fusion Approach
https://github.com/wrchen530/leapvo
공식 코드LEAP-VO: Long-term Effective Any Point Tracking for Visual Odometry
https://github.com/wuyou3474/AVTrack
공식 코드Learning an Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
https://github.com/wuzijian1997/sis-pt-sam
공식 코드https://github.com/wyddmw/pomato
공식 코드POMATO: Marrying Pointmap Matching with Temporal Motion for Dynamic 3D Reconstruction
https://github.com/xiajianqiang/USTrack
공식 코드Unified Single-Stage Transformer Network for Efficient RGB-T Tracking
https://github.com/xinli-zn/informative-tracking-benchmark
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.