Papers with Code 아카이브
Online Action Detection
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Online action detection is the task of predicting the action as soon as it happens in a streaming video without access to video frames in the future.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amazon-research/long-short-term-transformer
공식 코드https://github.com/echo0125/memory-and-anticipation-transformer
공식 코드Memory-and-Anticipation Transformer for Online Action Understanding
https://github.com/gramuah/ia
공식 코드https://github.com/gurkirt/AMTNet
공식 코드https://github.com/lukashedegaard/continual-transformers
공식 코드Continual Transformers: Redundancy-Free Attention for Online Inference
https://github.com/musicalOffering/ActionSwitch-release
공식 코드ActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
https://github.com/pangzhan27/CMeRT
공식 코드Context-Enhanced Memory-Refined Transformer for Online Action Detection
https://github.com/scofiedluo/wo-gma
공식 코드Weakly Supervised Online Action Detection for Infant General Movements
https://github.com/sqiangcao99/e2e-load
공식 코드https://github.com/vividle/online-action-detection
공식 코드Colar: Effective and Efficient Online Action Detection by Consulting Exemplars
https://github.com/wangxiang1230/OadTR
공식 코드https://github.com/xumingze0308/TRN.pytorch
공식 코드https://github.com/zhaoyue-zephyrus/testra
공식 코드Real-time Online Video Detection with Temporal Smoothing Transformers
https://github.com/YHKimGithub/FATSnet
Temporally smooth online action detection using cycle-consistent future anticipation
https://github.com/amazon-science/long-short-term-transformer
https://github.com/hjeun/idu
Learning to Discriminate Information for Online Action Detection
https://github.com/jbistanbul/miniroad
https://github.com/seanmcgovern21/Machine-Learning-CS539
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
https://github.com/wangwen39/Temporal-Modeling-Methods-for-OAD
A Comprehensive Study on Temporal Modeling for Online Action Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.