Temporal Localization
69 papers with code • 0 benchmarks • 4 datasets
Benchmarks
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Libraries
Use these libraries to find Temporal Localization models and implementations
Charades-STA
AVE
VidSTG
Most implemented papers
TALL: Temporal Activity Localization via Language Query
For evaluation, we adopt TaCoS dataset, and build a new dataset for this task on top of Charades by adding sentence temporal annotations, called Charades-STA.
Weakly Supervised Action Localization by Sparse Temporal Pooling Network
We propose a weakly supervised temporal action localization algorithm on untrimmed videos using convolutional neural networks.
MAC: Mining Activity Concepts for Language-based Temporal Localization
runzhouge/MAC
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Previous methods address the problem by considering features from video sliding windows and language queries and learning a subspace to encode their correlation, which ignore rich semantic cues about activities in videos and queries.
Asynchronous Temporal Fields for Action Recognition
gsig/temporal-fields
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CVPR 2017
Actions are more than just movements and trajectories: we cook to eat and we hold a cup to drink from it.
HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization
This paper presents a new large-scale dataset for recognition and temporal localization of human actions collected from Web videos.
Audio-Visual Event Localization in Unconstrained Videos
YapengTian/AVE-ECCV18
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ECCV 2018
In this paper, we introduce a novel problem of audio-visual event localization in unconstrained videos.
Technical Report of the Video Event Reconstruction and Analysis (VERA) System -- Shooter Localization, Models, Interface, and Beyond
JunweiLiang/VERA_Shooter_Localization
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Among other uses, VERA enables the localization of a shooter from just a few videos that include the sound of gunshots.
Finding Moments in Video Collections Using Natural Language
We evaluate our approach on two recently proposed datasets for temporal localization of moments in video with natural language (DiDeMo and Charades-STA) extended to our video corpus moment retrieval setting.
Egocentric Video-Language Pretraining
showlab/egovlp
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Video-Language Pretraining (VLP), which aims to learn transferable representation to advance a wide range of video-text downstream tasks, has recently received increasing attention.
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
renshuhuai-andy/timechat
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CVPR 2024
This work proposes TimeChat, a time-sensitive multimodal large language model specifically designed for long video understanding.
