SOTAVerified

Few Shot Action Recognition

Few-shot (FS) action recognition is a challenging com- puter vision problem, where the task is to classify an unlabelled query video into one of the action categories in the support set having limited samples per action class.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–10 of 76 papers

TitleStatusHype
Hybrid Relation Guided Set Matching for Few-shot Action RecognitionCode1
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action RecognitionCode1
D^2ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action RecognitionCode1
Home Action Genome: Cooperative Compositional Action UnderstandingCode1
Action Genome: Actions as Composition of Spatio-temporal Scene GraphsCode1
Depth Guided Adaptive Meta-Fusion Network for Few-shot Video RecognitionCode1
CDFSL-V: Cross-Domain Few-Shot Learning for VideosCode1
CLIP-guided Prototype Modulating for Few-shot Action RecognitionCode1
Few-shot Action Recognition with Prototype-centered Attentive LearningCode1
MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language KnowledgeCode1
Show:102550
← PrevPage 1 of 8Next →

No leaderboard results yet.