Weakly Supervised Action Localization
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Benchmarks
THUMOS 2014
ActivityNet-1.2
ActivityNet-1.3
THUMOS’14
THUMOS14
GTEA
BEOID
FineAction
THUMOS' 14
Most implemented
Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
VideoMix: Rethinking Data Augmentation for Video Classification
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
Papers
Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localization
Weakly supervised temporal action localization aims to identify and localize action instances in untrimmed videos with only video-level labels. Typically, most methods are based on a multiple instance learning framework …
Action ClassificationAction LocalizationMultiple Instance LearningTemporal Action Localization+2Weakly supervised temporal action localization with actionness-guided false positive suppression
Weakly supervised temporal action localization aims to locate the temporal boundaries of action instances in untrimmed videos using video-level labels and assign them the corresponding action category. Generally, it is s…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationRevisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
Weakly-supervised temporal action localization aims to localize action instances in videos with only video-level action labels. Existing methods mainly embrace a localization-by-classification pipeline that optimizes the…
Action LocalizationClassificationClusteringTemporal Action Localization+3Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let's Improve It With Action-union Learning
Action segmentation plays an important role in enabling robots to automatically understand human activities. To train the action recognition model, while obtaining action labels for all frames is costly, annotating times…
Action RecognitionAction SegmentationSegmentationWeakly Supervised Action Localization+1POTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization
This paper tackles the challenge of point-supervised temporal action detection, wherein only a single frame is annotated for each action instance in the training set. Most of the current methods, hindered by the sparse n…
Action DetectionAction LocalizationPseudo LabelTemporal Action Localization+1HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Point-supervised Temporal Action Localization (PSTAL) is an emerging research direction for label-efficient learning. However, current methods mainly focus on optimizing the network either at the snippet-level or the ins…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action Localization