Fine-Gym-Temproal-Action-Localization
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Updated
Jul 8, 2023 - Python
Fine-Gym-Temproal-Action-Localization
[CVPR2022] Unsupervised Pre-training for Temporal Action Localization Tasks (UP-TAL)
keep updated on recent advances of Temporal Action Localization
[AAAI 2022] DCAN: Improving Temporal Action Detection via Dual Context Aggregation
ACM Multimedia 2023 - Temporal Sentence in Streaming Videos
Temporal Action Localization with Multi-granularity Feature Aggregation and Cross-level Boundary Modeling
【AAAI 2022】Temporal Action Proposal Generation with Background Constraint
papers and codes about temporal action localization
[BMVC 2021 Oral] AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposal Generation
The official implementation of Multi-Modality Self-Distillation for Weakly Supervised Temporal Action Localization
[ICCV 2023] Official PyTorch implementation of the paper "DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion"
[ECCV 2022] Official Pytorch Implementation of paper : " Proposal-Free Temporal Action Detection with Global Segmentation Mask Learning "
[Asilomar 2022] Contextual Explainable Video Representation: Human Perception-based Understanding
Official implementation of HR-Pro(AAAI2024)
[ECCV 2022] Official Pytorch Implementation of the paper : " Semi-Supervised Temporal Action Detection with Proposal-Free Masking "
Official GitHub page of the journal publication "WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition" to be published Issue 4 of IMWUT Vol. 8 (November 2024).
Pytorch implementation of the paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", along with three new modules to address overfitting issues found in the baseline model, and their ablation studies.
TemporalMaxer: Maximize Temporal Context with only Max Pooling for Temporal Action Localization
The official implementation of 'Proposal-based Multiple Instance Learning for Weakly-supervised Temporal Action Localization' (CVPR 2023)
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