https://github.com/2024-MindSpore-1/Code9/tree/main/gcn-c3d-mindspore-master
LOGO: A Long-Form Video Dataset for Group Action Quality Assessment
Papers with Code 아카이브
Action Segmentation
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Action Segmentation is a challenging problem in high-level video understanding. In its simplest form, Action Segmentation aims to segment a temporally untrimmed video by time and label each segmented part with one of pre-defined action labels. The results of Action Segmentation can be further used as input to various applications, such as video-to-text and action localization.
Source: TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Around-30/Kaggle
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
https://github.com/Finspire13/RL-Surgical-Gesture-Segmentation
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
https://github.com/HaoyuJi/TRG-Net
Text-Derived Relational Graph-Enhanced Network for Skeleton-Based Action Segmentation
https://github.com/JerryX1110/awesome-rvos
https://github.com/JunLi-Galios/CDFL
Weakly Supervised Energy-Based Learning for Action Segmentation
https://github.com/MCG-NJU/BCN
https://github.com/MindSpore-paper-code-2/code3/tree/main/TCN
MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
https://github.com/ParitoshParmar/Fitness-AQA
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
https://github.com/ParitoshParmar/MTL-AQA
Hierarchical NeuroSymbolic Approach for Comprehensive and Explainable Action Quality Assessment
https://github.com/XLearning-SCU/2024-ICLR-Norton
Multi-granularity Correspondence Learning from Long-term Noisy Videos
https://github.com/Yuhan-Shen/ProTAS
https://github.com/ZijiaLewisLu/CVPR22-POC
https://github.com/ZijiaLewisLu/ICCV21-TASL
https://github.com/alexanderrichard/action-sets
Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints
https://github.com/antoine77340/S3D_HowTo100M
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
https://github.com/antoine77340/milnce_howto100m
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
https://github.com/coderSkyChen/Action_Recognition_Zoo
Temporal Convolutional Networks for Action Segmentation and Detection
https://github.com/colincsl/TemporalConvolutionalNetworks
Temporal Convolutional Networks for Action Segmentation and Detection
https://github.com/cotton-ahn/hasr_iccv2021
https://github.com/facebookresearch/fairseq
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
https://github.com/fandulu/DD-Net
https://github.com/finspire13/diffact
https://github.com/frans-db/progress-prediction
Unsupervised learning of action classes with continuous temporal embedding
https://github.com/linjieli222/hero_video_feature_extractor
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
https://github.com/lyhisme/ETSN
https://github.com/sadari1/TumorDetectionDeepLearning
Temporal Convolutional Networks for Action Segmentation and Detection
https://github.com/sj-li/MS-TCN2
MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation
https://github.com/tengdahan/temporalalignnet
https://github.com/wqliu657/UniVL
UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
https://github.com/yz-cnsdqz/TemporalActionParsing-FineGrained
Temporal Convolutional Networks for Action Segmentation and Detection
https://github.com/yz-cnsdqz/dynamic_clustering
https://github.com/yz-cnsdqz/ms-tcn-bilinear
Frontal Low-rank Random Tensors for Fine-grained Action Segmentation
https://github.com/zijialewislu/cvpr2024-fact
https://github.com/zlngan/ASQuery
https://github.services.devops.takamol.support/boschresearch/UVAST
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.