Weakly-supervised Temporal Action Localization

22 papers with code • 1 benchmarks • 1 datasets

Temporal Action Localization with weak supervision where only video-level labels are given for training


Use these libraries to find Weakly-supervised Temporal Action Localization models and implementations


Most implemented papers

Weakly Supervised Action Localization by Sparse Temporal Pooling Network

demianzhang/weakly-action-localization CVPR 2018

We propose a weakly supervised temporal action localization algorithm on untrimmed videos using convolutional neural networks.

Background Suppression Network for Weakly-supervised Temporal Action Localization

Pilhyeon/BaSNet-pytorch 22 Nov 2019

This formulation does not fully model the problem in that background frames are forced to be misclassified as action classes to predict video-level labels accurately.

Weakly-supervised Temporal Action Localization by Uncertainty Modeling

Pilhyeon/WTAL-Uncertainty-Modeling 12 Jun 2020

Experimental results show that our uncertainty modeling is effective at alleviating the interference of background frames and brings a large performance gain without bells and whistles.

Adversarial Background-Aware Loss for Weakly-supervised Temporal Activity Localization

kylemin/A2CL-PT ECCV 2020

Two triplets of the feature space are considered in our approach: one triplet is used to learn discriminative features for each activity class, and the other one is used to distinguish the features where no activity occurs (i. e. background features) from activity-related features for each video.

ACM-Net: Action Context Modeling Network for Weakly-Supervised Temporal Action Localization

ispc-lab/ACM-Net 7 Apr 2021

Traditional methods mainly focus on foreground and background frames separation with only a single attention branch and class activation sequence.

AutoLoc: Weakly-supervised Temporal Action Localization

zhengshou/AutoLoc 22 Jul 2018

In this paper, we first develop a novel weakly-supervised TAL framework called AutoLoc to directly predict the temporal boundary of each action instance.

RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization

HumamAlwassel/RefineLoc 30 Mar 2019

RefineLoc shows competitive results with the state-of-the-art in weakly-supervised temporal localization.

Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization

Finspire13/CMCS-Temporal-Action-Localization CVPR 2019

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.

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

naraysa/3c-net ICCV 2019

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.

Weakly Supervised Temporal Action Localization Using Deep Metric Learning

asrafulashiq/wsad 21 Jan 2020

We propose a classification module to generate action labels for each segment in the video, and a deep metric learning module to learn the similarity between different action instances.