SOTAVerified

Action Localization

Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.

Papers

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Showing 226–250 of 369 papers

TitleStatusHype
Social Scene Understanding: End-to-End Multi-Person Action Localization and Collective Activity Recognition—0
Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions—0
Spatio-Temporal Action Localization in a Weakly Supervised Setting—0
Spatio-temporal Action Recognition: A Survey—0
Frequency Selective Augmentation for Video Representation Learning—0
Spatio-Temporal Instance Learning: Action Tubes from Class Supervision—0
Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding—0
Spot On: Action Localization from Pointly-Supervised Proposals—0
STAT: Towards Generalizable Temporal Action Localization—0
Stitch Contrast and Segment_Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos—0
Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization—0
Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization—0
Survey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives—0
Temporal Action Localization by Structured Maximal Sums—0
Temporal Action Localization using Long Short-Term Dependency—0
Temporal Action Localization with Global Segmentation Mask Transformers—0
Temporal Action Localization with Multi-temporal Scales—0
Temporal Action Localization With Pyramid of Score Distribution Features—0
Temporal Action Localization with Variance-Aware Networks—0
Temporal Action Proposal Generation with Transformers—0
Temporal Convolution Based Action Proposal: Submission to ActivityNet 2017—0
Temporal Fusion Network for Temporal Action Localization:Submission to ActivityNet Challenge 2020 (Task E)—0
Temporal Perceiving Video-Language Pre-training—0
P2ANet: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos—0
Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations—0
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