https://github.com/HumamAlwassel/action-search
공식 코드Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization
Papers with Code 아카이브
Action Spotting
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SilvioGiancola/SoccerNetv2-DevKit/tree/main/Task1-ActionSpotting/TemporallyAwarePooling
공식 코드Temporally-Aware Feature Pooling for Action Spotting in Soccer Broadcasts
https://github.com/SoccerNet/sn-echoes
공식 코드https://github.com/arturxe2/astra
공식 코드https://github.com/baidu-research/vidpress-sports
공식 코드https://github.com/cioppaanthony/context-aware-loss
공식 코드A Context-Aware Loss Function for Action Spotting in Soccer Videos
https://github.com/csjihwanh/soccernet-mlv
공식 코드https://github.com/fsoft-aic/unifying-global-local-feature
공식 코드Unifying Global and Local Scene Entities Modelling for Precise Action Spotting
https://github.com/ipcv/soccer_action_spotting
공식 코드A Graph-Based Method for Soccer Action Spotting Using Unsupervised Player Classification
https://github.com/jhong93/spot
공식 코드https://github.com/juliendenize/eztorch
공식 코드COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers
https://github.com/lRomul/ball-action-spotting
공식 코드https://github.com/soccernet/sn-calibration
공식 코드https://github.com/soccernet/sn-grounding
공식 코드https://github.com/soccernet/sn-reid
공식 코드https://github.com/soccernet/sn-spotting
공식 코드https://github.com/soccernet/sn-tracking
공식 코드https://github.com/yahoo/spivak
공식 코드Temporally Precise Action Spotting in Soccer Videos Using Dense Detection Anchors
https://github.com/zjlab-ammi/e2e-spot-mbs
공식 코드https://github.com/NikolasEnt/soccernet-calibration-sportlight
https://github.com/SilvioGiancola/SoccerNet-code
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
https://github.com/SilvioGiancola/SoccerNetv2-DevKit
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/aimagelab/rmsnet_soccer
SoccerNet-v2: A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos
https://github.com/maudzung/TTNet-Realtime-for-Table-Tennis-Pytorch
TTNet: Real-time temporal and spatial video analysis of table tennis
https://github.com/shallowlearn/sportsreid
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.