Weakly Supervised Action Localization

25 papers with code • 7 benchmarks • 4 datasets

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.


Use these libraries to find Weakly Supervised Action Localization models and implementations

Most implemented papers

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization

zhengshou/AutoLoc ICCV 2017

We propose `Hide-and-Seek', a weakly-supervised framework that aims to improve object localization in images and action localization in videos.

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.

Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets

camma-public/tripnet 10 Jul 2020

Recognition of surgical activity is an essential component to develop context-aware decision support for the operating room.

UntrimmedNets for Weakly Supervised Action Recognition and Detection

wanglimin/UntrimmedNet CVPR 2017

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

Guess Where? Actor-Supervision for Spatiotemporal Action Localization

escorciav/roi_pooling 5 Apr 2018

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.

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.

007: Democratically Finding The Cause of Packet Drops

behnazak/Vigil-007SourceCode 20 Feb 2018

Network failures continue to plague datacenter operators as their symptoms may not have direct correlation with where or why they occur.