Temporal Localization
55 papers with code • 0 benchmarks • 3 datasets
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Libraries
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Charades-STA
AVE
VidSTG
Most implemented papers
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs
To address this challenging issue, we exploit the effectiveness of deep networks in temporal action localization via three segment-based 3D ConvNets: (1) a proposal network identifies candidate segments in a long video that may contain actions; (2) a classification network learns one-vs-all action classification model to serve as initialization for the localization network; and (3) a localization network fine-tunes on the learned classification network to localize each action instance.
Online Human Action Detection using Joint Classification-Regression Recurrent Neural Networks
seanmcgovern21/Machine-Learning-CS539
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In this paper, we study the problem of online action detection from streaming skeleton data.
Am I Done? Predicting Action Progress in Videos
frans-db/progress-prediction
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In this paper we deal with the problem of predicting action progress in videos.
RefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
RefineLoc shows competitive results with the state-of-the-art in weakly-supervised temporal localization.
SoftLoc: Robust Temporal Localization under Label Misalignment
This work addresses the long-standing problem of robust event localization in the presence of temporally of misaligned labels in the training data.
Learning to Localize Temporal Events in Large-scale Video Data
We address temporal localization of events in large-scale video data, in the context of the Youtube-8M Segments dataset.
Multi-attention Networks for Temporal Localization of Video-level Labels
The model performance is further improved by constructing multiple sets of attention networks.
Why Can't I Dance in the Mall? Learning to Mitigate Scene Bias in Action Recognition
vt-vl-lab/SDN
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NeurIPS 2019
We validate the effectiveness of our method by transferring our pre-trained model to three different tasks, including action classification, temporal localization, and spatio-temporal action detection.
Weakly Supervised Temporal Action Localization Using Deep Metric Learning
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.
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA
hyounghk/VideoQADenseCapFrameGate-ACL2020
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ACL 2020
Moreover, our model is also comprised of dual-level attention (word/object and frame level), multi-head self/cross-integration for different sources (video and dense captions), and gates which pass more relevant information to the classifier.
