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

Showing 251–275 of 369 papers

TitleStatusHype
Three Branches: Detecting Actions With Richer Features—0
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization—0
Transferable Knowledge-Based Multi-Granularity Aggregation Network for Temporal Action Localization: Submission to ActivityNet Challenge 2021—0
Trimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019—0
Tubelets: Unsupervised action proposals from spatiotemporal super-voxels—0
Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization—0
Two-Stream Consensus Network: Submission to HACS Challenge 2021 Weakly-Supervised Learning Track—0
Two-Stream Networks for Weakly-Supervised Temporal Action Localization With Semantic-Aware Mechanisms—0
Unified Keypoint-based Action Recognition Framework via Structured Keypoint Pooling—0
Unsupervised Action Discovery and Localization in Videos—0
Unsupervised Action Localization Crop in Video Retargeting for 3D ConvNets—0
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization—0
VideoCapsuleNet: A Simplified Network for Action Detection—0
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding—0
Video-Specific Query-Key Attention Modeling for Weakly-Supervised Temporal Action Localization—0
vireoJD-MM at Activity Detection in Extended Videos—0
Visual-Textual Capsule Routing for Text-Based Video Segmentation—0
ViTALS: Vision Transformer for Action Localization in Surgical Nephrectomy—0
Weakly-Supervised Action Localization and Action Recognition using Global-Local Attention of 3D CNN—0
Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling—0
Weakly-supervised Action Localization with Background Modeling—0
Weakly Supervised Gaussian Networks for Action Detection—0
Weakly-Supervised Multi-Person Action Recognition in 360^ Videos—0
Weakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks—0
Weakly Supervised Temporal Action Localization with Segment-Level Labels—0
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