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 41–50 of 76 papers

TitleStatusHype
All About Knowledge Graphs for Actions—0
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition—0
Compound Prototype Matching for Few-shot Action Recognition—0
DMSD-CDFSAR: Distillation from Mixed-Source Domain for Cross-Domain Few-shot Action Recognition—0
Few-shot Action Recognition via Intra- and Inter-Video Information Maximization—0
Few-shot Action Recognition with Captioning Foundation Models—0
Few-Shot Action Recognition with Compromised Metric via Optimal Transport—0
Few-shot Action Recognition with Implicit Temporal Alignment and Pair Similarity Optimization—0
Few-Shot Video Classification via Temporal Alignment—0
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition—0
Show:102550
← PrevPage 5 of 8Next →

No leaderboard results yet.