Papers Few-Shot Skeleton-Based Action Recognition
“Few-Shot Skeleton-Based Action Recognition” 태그가 달린 논문 8편 · 필터 해제
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Self-supervised pretraining methods with masked prediction demonstrate remarkable within-dataset performance in skeleton-based action recognition. However, we show that, unlike contrastive learning approaches, they do no…
3D Action RecognitionAction RecognitionContrastive LearningDecoder+4Masked Motion Predictors are Strong 3D Action Representation Learners
In 3D human action recognition, limited supervised data makes it challenging to fully tap into the modeling potential of powerful networks such as transformers. As a result, researchers have been actively investigating e…
3D Action RecognitionAction RecognitionFew-Shot Skeleton-Based Action Recognitionmotion prediction+3Parallel Attention Interaction Network for Few-Shot Skeleton-Based Action Recognition
Learning discriminative features from very few labeled samples to identify novel classes has received increasing attention in skeleton-based action recognition. Existing works aim to learn action-specific embeddings …
Action RecognitionFew-Shot Skeleton-Based Action RecognitionSkeleton Based Action RecognitionHierarchical Contrast for Unsupervised Skeleton-based Action Representation Learning
This paper targets unsupervised skeleton-based action representation learning and proposes a new Hierarchical Contrast (HiCo) framework. Different from the existing contrastive-based solutions that typically represent an…
Action RecognitionFew-Shot Skeleton-Based Action RecognitionRepresentation LearningRetrieval+2Hierarchical Consistent Contrastive Learning for Skeleton-Based Action Recognition with Growing Augmentations
Contrastive learning has been proven beneficial for self-supervised skeleton-based action recognition. Most contrastive learning methods utilize carefully designed augmentations to generate different movement patterns of…
Action RecognitionContrastive LearningFew-Shot Skeleton-Based Action RecognitionSelf-supervised Skeleton-based Action Recognition+1CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
In 3D action recognition, there exists rich complementary information between skeleton modalities. Nevertheless, how to model and utilize this information remains a challenging problem for self-supervised 3D action repre…
3D Action RecognitionAction RecognitionFew-Shot Skeleton-Based Action RecognitionKnowledge Distillation+2Contrastive Learning from Extremely Augmented Skeleton Sequences for Self-supervised Action Recognition
In recent years, self-supervised representation learning for skeleton-based action recognition has been developed with the advance of contrastive learning methods. The existing contrastive learning methods use normal aug…
Action RecognitionContrastive LearningFew-Shot Skeleton-Based Action RecognitionRepresentation Learning+4Skeleton-Contrastive 3D Action Representation Learning
This paper strives for self-supervised learning of a feature space suitable for skeleton-based action recognition. Our proposal is built upon learning invariances to input skeleton representations and various skeleton au…
Action RecognitionContrastive LearningFew-Shot Skeleton-Based Action RecognitionRepresentation Learning+4