Temporal Localization
55 papers with code • 0 benchmarks • 3 datasets
Benchmarks
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Libraries
Use these libraries to find Temporal Localization models and implementations
Charades-STA
AVE
VidSTG
Most implemented papers
Video Moment Localization using Object Evidence and Reverse Captioning
madhawav/MML
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We address the problem of language-based temporal localization of moments in untrimmed videos.
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis
ar-ambuj23/covid19_pocus_ultrasound_pytorch
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Controlling the COVID-19 pandemic largely hinges upon the existence of fast, safe, and highly-available diagnostic tools.
Human-centric Spatio-Temporal Video Grounding With Visual Transformers
HC-STVG is a video grounding task that requires both spatial (where) and temporal (when) localization.
VLG-Net: Video-Language Graph Matching Network for Video Grounding
Soldelli/VLG-Net
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Grounding language queries in videos aims at identifying the time interval (or moment) semantically relevant to a language query.
Boundary-sensitive Pre-training for Temporal Localization in Videos
However, most existing models developed for these tasks are pre-trained on general video action classification tasks.
TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks
Extensive experiments show that using features trained with our novel pretraining strategy significantly improves the performance of recent state-of-the-art methods on three tasks: Temporal Action Localization, Action Proposal Generation, and Dense Video Captioning.
CityFlow-NL: Tracking and Retrieval of Vehicles at City Scale by Natural Language Descriptions
In this paper, we focus on two foundational tasks: the Vehicle Retrieval by NL task and the Vehicle Tracking by NL task, which take advantage of the proposed CityFlow-NL benchmark and provide a strong basis for future research on the multi-target multi-camera tracking by NL description task.
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
TencentYoutuResearch/ActionDetection-AFSD
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CVPR 2021
Temporal action localization is an important yet challenging task in video understanding.
Weakly Supervised Action Selection Learning in Video
layer6ai-labs/ASL
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CVPR 2021
A common approach is to train a frame-level classifier where frames with the highest class probability are selected to make a video-level prediction.
FineAction: A Fine-Grained Video Dataset for Temporal Action Localization
Temporal action localization (TAL) is an important and challenging problem in video understanding.
