Papers Semi-Supervised Action Detection
“Semi-Supervised Action Detection” 태그가 달린 논문 4편 · 필터 해제
Semi-Supervised Temporal Action Detection with Proposal-Free Masking
Existing temporal action detection (TAD) methods rely on a large number of training data with segment-level annotations. Collecting and annotating such a training set is thus highly expensive and unscalable. Semi-supervi…
Action DetectionGeneral ClassificationSemi-Supervised Action DetectionSelf-Supervised Learning for Semi-Supervised Temporal Action Proposal
Self-supervised learning presents a remarkable performance to utilize unlabeled data for various video tasks. In this paper, we focus on applying the power of self-supervised methods to improve semi-supervised action pro…
RelationSelf-Supervised LearningSemi-Supervised Action DetectionTemporal Action LocalizationTemporal Action Detection with Multi-level Supervision
Training temporal action detection in videos requires large amounts of labeled data, yet such annotation is expensive to collect. Incorporating unlabeled or weakly-labeled data to train action detection model could help …
Action DetectionSemi-Supervised Action DetectionLearning Temporal Action Proposals With Fewer Labels
Temporal action proposals are a common module in action detection pipelines today. Most current methods for training action proposal modules rely on fully supervised approaches that require large amounts of annotated tem…
Action DetectionSemi-Supervised Action Detection