Browse State-of-the-Art › Weakly-Supervised Action Recognition
Weakly-Supervised Action Recognition
3 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Action recognition with single-point annotations in time (there are no action start/stop time annotations)
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
3 shown of 3 papers with code (4 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
27 Jul 2017 2 repositories listedDiscriminative clustering has been successfully applied to a number of weakly-supervised learning tasks.
-
9 Mar 2017 2 repositories listedWe exploit the learned models for action recognition (WSR) and detection (WSD) on the untrimmed video datasets of THUMOS14 and ActivityNet.
-
1 Nov 2021 1 repository listedOur consideration of Re-ID and action recognition as a multi-task problem results in a multi-branch 2D CNN architecture that outperforms prior work in the field (rank-1 (mAP) – MARS: 93.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections