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/ecart18/SATA
공식 코드Real Time Visual Tracking using Spatial-Aware Temporal Aggregation Network
https://github.com/egundogdu/CFCF
공식 코드https://github.com/event-ahu/adversarial_attack_defense
공식 코드Adversarial Attack for RGB-Event based Visual Object Tracking
https://github.com/event-ahu/awesome_modern_hopfield_networks
공식 코드Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline
https://github.com/event-ahu/coesot
공식 코드Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
https://github.com/event-ahu/eventvot_benchmark
공식 코드Event Stream-based Visual Object Tracking: A High-Resolution Benchmark Dataset and A Novel Baseline
https://github.com/event-ahu/felt_sot_benchmark
공식 코드Long-term Frame-Event Visual Tracking: Benchmark Dataset and Baseline
https://github.com/event-ahu/mambaevt
공식 코드MambaEVT: Event Stream based Visual Object Tracking using State Space Model
https://github.com/facebookresearch/co-tracker
공식 코드https://github.com/facebookresearch/vggt
공식 코드https://github.com/fedezocco/matvisiongluinh-pytorch_tensorflow
공식 코드Visual Material Characteristics Learning for Circular Healthcare
https://github.com/foolwood/DCFNet
공식 코드DCFNet: Discriminant Correlation Filters Network for Visual Tracking
https://github.com/foolwood/DaSiamRPN
공식 코드Distractor-aware Siamese Networks for Visual Object Tracking
https://github.com/fredfung007/snlt
공식 코드Siamese Natural Language Tracker: Tracking by Natural Language Descriptions with Siamese Trackers
https://github.com/fregu856/ebms_regression
공식 코드https://github.com/fzh0917/STMTrack
공식 코드STMTrack: Template-free Visual Tracking with Space-time Memory Networks
https://github.com/fzh0917/sparsett
공식 코드https://github.com/google-deepmind/tapnet
공식 코드https://github.com/gorkaydemir/track_on
공식 코드Track-On: Transformer-based Online Point Tracking with Memory
https://github.com/gxnu-zhonglab/odtrack
공식 코드ODTrack: Online Dense Temporal Token Learning for Visual Tracking
https://github.com/gxnu-zhonglab/sglatrack
공식 코드Similarity-Guided Layer-Adaptive Vision Transformer for UAV Tracking
https://github.com/hamadya/cldtracker
공식 코드CLDTracker: A Comprehensive Language Description for Visual Tracking
https://github.com/hekaijie123/TATrack
공식 코드https://github.com/henglan/vasttrack
공식 코드https://github.com/henry123-boy/SpaTrackerV2
공식 코드https://github.com/hiteshsaainew/optipixel_video_encode
공식 코드https://github.com/hoqolo/sdstrack
공식 코드SDSTrack: Self-Distillation Symmetric Adapter Learning for Multi-Modal Visual Object Tracking
https://github.com/hqucv/siamban
공식 코드https://github.com/husteryoung/mplt
공식 코드https://github.com/huuuuusy/videocube-toolkit
공식 코드https://github.com/ifnspaml/s-amodal
공식 코드Foundation Models for Amodal Video Instance Segmentation in Automated Driving
https://github.com/ireneperezsalesa/event_tracking
공식 코드https://github.com/isosnovik/SiamSE
공식 코드https://github.com/jaraxxus-me/pvt_pp
공식 코드PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework
https://github.com/jasonkks/pttr
공식 코드PTTR: Relational 3D Point Cloud Object Tracking with Transformer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.