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Weakly Supervised Action Localization

7 papers with code · Computer Vision

In this task, the training data consists of videos with a list of activities in them without any temporal boundary annotations. However, while testing, given a video, the algorithm should recognize the activities in the video and also provide the start and end time.

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Greatest papers with code

UntrimmedNets for Weakly Supervised Action Recognition and Detection

CVPR 2017 wanglimin/UntrimmedNet

We exploit the learned models for action recognition (WSR) and detection (WSD) on the untrimmed video datasets of THUMOS14 and ActivityNet.

WEAKLY SUPERVISED ACTION LOCALIZATION ZERO-SHOT ACTION RECOGNITION

Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization

CVPR 2019 Finspire13/CMCS-Temporal-Action-Localization

In this work, we first identify two underexplored problems posed by the weak supervision for temporal action localization, namely action completeness modeling and action-context separation.

ACTION LOCALIZATION WEAKLY SUPERVISED ACTION LOCALIZATION

Guess Where? Actor-Supervision for Spatiotemporal Action Localization

5 Apr 2018escorciav/roi_pooling

Second, we propose an actor-based attention mechanism that enables the localization of the actions from action class labels and actor proposals and is end-to-end trainable.

ACTION LOCALIZATION WEAKLY SUPERVISED ACTION LOCALIZATION

3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization

22 Aug 2019naraysa/3c-net

Our joint formulation has three terms: a classification term to ensure the separability of learned action features, an adapted multi-label center loss term to enhance the action feature discriminability and a counting loss term to delineate adjacent action sequences, leading to improved localization.

ACTION LOCALIZATION WEAKLY SUPERVISED ACTION LOCALIZATION