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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 201–225 of 369 papers

TitleStatusHype
Improving Action Localization by Progressive Cross-stream Cooperation—0
IMUVIE: Pickup Timeline Action Localization via Motion Movies—0
JCDNet: Joint of Common and Definite phases Network for Weakly Supervised Temporal Action Localization—0
Learning Actionness via Long-range Temporal Order Verification—0
Actor-centered Representations for Action Localization in Streaming Videos—0
Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks—0
Learning Discriminative Motion Features Through Detection—0
Learning Higher-order Object Interactions for Keypoint-based Video Understanding—0
Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization—0
Learning to track for spatio-temporal action localization—0
LLM-powered Query Expansion for Enhancing Boundary Prediction in Language-driven Action Localization—0
Localizing Actions from Video Labels and Pseudo-Annotations—0
Localizing Moments of Actions in Untrimmed Videos of Infants with Autism Spectrum Disorder—0
Relevance Detection in Cataract Surgery Videos by Spatio-Temporal Action Localization—0
Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction—0
Rethinking the Faster R-CNN Architecture for Temporal Action Localization—0
Rethinking Top Probability from Multi-view for Distracted Driver Behaviour Localization—0
Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding—0
SALAD: Self-Assessment Learning for Action Detection—0
Scale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos—0
MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization—0
Self-supervised Multi-actor Social Activity Understanding in Streaming Videos—0
Self-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity—0
Semi-Supervised Pipe Video Temporal Defect Interval Localization—0
Slow Motion Matters: A Slow Motion Enhanced Network for Weakly Supervised Temporal Action Localization—0
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