https://github.com/AKASH2907/End-to-End-Semi-Supervised-Learning-for-Video-Action-Detection
공식 코드End-to-End Semi-Supervised Learning for Video Action Detection
Papers with Code 아카이브
Temporal Localization
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Cogito2012/OpenTAL
공식 코드https://github.com/HengLan/TA-STVG
공식 코드Knowing Your Target: Target-Aware Transformer Makes Better Spatio-Temporal Video Grounding
https://github.com/HumamAlwassel/RefineLoc
공식 코드RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
https://github.com/HumamAlwassel/TSP
공식 코드TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
https://github.com/JunweiLiang/VERA_Shooter_Localization
공식 코드https://github.com/Richard-61/FineAction
공식 코드FineAction: A Fine-Grained Video Dataset for Temporal Action Localization
https://github.com/SJTUwxz/TimeRefine
공식 코드https://github.com/TencentYoutuResearch/ActionDetection-AFSD
공식 코드Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
https://github.com/akash2907/semi-sup-active-learning
공식 코드https://github.com/antoyang/TubeDETR
공식 코드https://github.com/appletea233/llava-st
공식 코드LLaVA-ST: A Multimodal Large Language Model for Fine-Grained Spatial-Temporal Understanding
https://github.com/asrafulashiq/wsad
공식 코드Weakly Supervised Temporal Action Localization Using Deep Metric Learning
https://github.com/boneddeng/tadml
공식 코드https://github.com/brkljac/videoface2.0
공식 코드https://github.com/buxiangzhiren/contextloc
공식 코드Enriching Local and Global Contexts for Temporal Action Localization
https://github.com/ddlbojack/hdrr
공식 코드Hierarchical Deep Residual Reasoning for Temporal Moment Localization
https://github.com/ear-team/bambird
공식 코드Unsupervised classification to improve the quality of a bird song recording dataset
https://github.com/eitan159/AV2A
공식 코드Adapting to the Unknown: Training-Free Audio-Visual Event Perception with Dynamic Thresholds
https://github.com/fredfung007/cityflow-nl
공식 코드CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions
https://github.com/gewu-lab/crab
공식 코드Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation
https://github.com/google-deepmind/neptune
공식 코드https://github.com/google-research/scenic
공식 코드https://github.com/gsig/temporal-fields
공식 코드https://github.com/haojc/shufflingvideosfortsg
공식 코드Can Shuffling Video Benefit Temporal Bias Problem: A Novel Training Framework for Temporal Grounding
https://github.com/houzhijian/conquer
공식 코드CONQUER: Contextual Query-aware Ranking for Video Corpus Moment Retrieval
https://github.com/hyounghk/VideoQADenseCapFrameGate-ACL2020
공식 코드Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA
https://github.com/jasonrayshd/egomotion
공식 코드Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022
https://github.com/jiyanggao/TALL
공식 코드https://github.com/josephzpng/distime
공식 코드DisTime: Distribution-based Time Representation for Video Large Language Models
https://github.com/layer6ai-labs/ASL
공식 코드https://github.com/madhawav/MML
공식 코드Video Moment Localization using Object Evidence and Reverse Captioning
https://github.com/magecliff96/atars
공식 코드ATARS: An Aerial Traffic Atomic Activity Recognition and Temporal Segmentation Dataset
https://github.com/mbzuai-oryx/videomolmo
공식 코드https://github.com/mengcaopku/locvtp
공식 코드https://github.com/michigannlp/vlog_action_localization
공식 코드When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.