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 301325 of 369 papers

TitleStatusHype
Faster Learning of Temporal Action Proposal via Sparse Multilevel Boundary GeneratorCode0
Dilation-Erosion for Single-Frame Supervised Temporal Action LocalizationCode0
Multiscale Vision Transformers meet Bipartite Matching for efficient single-stage Action LocalizationCode0
Boosting Positive Segments for Weakly-Supervised Audio-Visual Video ParsingCode0
Visual Self-paced Iterative Learning for Unsupervised Temporal Action LocalizationCode0
A Multimodal Dataset for Enhancing Industrial Task Monitoring and Engagement PredictionCode0
When Did It Happen? Duration-informed Temporal Localization of Narrated Actions in VlogsCode0
AutoLoc: Weakly-supervised Temporal Action LocalizationCode0
Dilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in VideosCode0
Diagnosing Errors in Video Relation DetectorsCode0
VideoLSTM Convolves, Attends and Flows for Action RecognitionCode0
temporal driver action Localization using action classifications methodCode0
Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localizationCode0
A Simple Transformer-Based Model for Ego4D Natural Language Queries ChallengeCode0
Learning Temporal Co-Attention Models for Unsupervised Video Action LocalizationCode0
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web ImagesCode0
Diagnosing Error in Temporal Action DetectorsCode0
Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action LocalizationCode0
Re2TAL: Rewiring Pretrained Video Backbones for Reversible Temporal Action LocalizationCode0
KORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action LocalizationCode0
A Perceptual Prediction Framework for Self Supervised Event SegmentationCode0
Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action LocalizationCode0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
RefineLoc: Iterative Refinement for Weakly-Supervised Action LocalizationCode0
DeepSegmenter: Temporal Action Localization for Detecting Anomalies in Untrimmed Naturalistic Driving VideosCode0
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