https://github.com/logiklesuraj/SiamFC
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
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/logiklesuraj/siamfcex
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/lql-team/TSDM
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/marciska/vpc-library
Visual Pursuit Control based on Gaussian Processes with Switched Motion Trajectories
https://github.com/martin-danelljan/ECO
https://github.com/mhazoglou/PVM_PyCUDA
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
https://github.com/mingyuw/tracker_209as
SiamFC++: Towards Robust and Accurate Visual Tracking with Target Estimation Guidelines
https://github.com/miv-xjtu/artrack
https://github.com/mkartikkumar/re3-tensorflow
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
https://github.com/natdebru/OpenCV-Video-Label
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
https://github.com/open-mmlab/mmtracking
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/opengvlab/internchat
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
https://github.com/opengvlab/interngpt
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
https://github.com/pengboxiangshang/siamrpn
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/ryanhtr/tbsi
https://github.com/saic-mdal/HiDT
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
https://github.com/sair-lab/ni-slam
https://github.com/sinbycos/TUNA
https://github.com/skyoung/RFL
https://github.com/soran-ghaderi/torchebm
https://github.com/touchjet/re3-tensorflow
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
https://github.com/tsingqguo/AttackTracker
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking
https://github.com/vision4robotics/DR2Track/tree/master/DR2Track1
DR^2Track: Towards Real-Time Visual Tracking for UAV via Distractor Repressed Dynamic Regression
https://github.com/wang-chen/correlation_flow
https://github.com/wangxiao5791509/DFG_RGBT_Tracking_PyTorch
MFGNet: Dynamic Modality-Aware Filter Generation for RGB-T Tracking
https://github.com/wangxiao5791509/DeepMTA_PyTorch
https://github.com/wangxiao5791509/SiamDW_tracker_revised
Deeper and Wider Siamese Networks for Real-Time Visual Tracking
https://github.com/wangxiao5791509/Tracking-with-Deep-Reinforcement-Learning
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam Search
https://github.com/xiaobai1217/MBMD
Learning regression and verification networks for long-term visual tracking
https://github.com/xingpingdong/CLNet-tracking
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
https://github.com/xuefeng-zhu5/cdaat
https://github.com/yangmengmeng1997/APFNet
https://github.com/zhanglichao/end2end_rgbt_tracking
https://github.com/zllrunning/SiameseX.PyTorch
SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.