SOTAVerified

Micro-Expression Recognition

Facial Micro-Expression Recognition is a challenging task in identifying suppressed emotion in a high-stake environment, often comes in very brief duration and subtle changes.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 74 papers

TitleStatusHype
Objective Classes for Micro-Facial Expression Recognition—0
OFF-ApexNet on Micro-expression Recognition System—0
Prior Information based Decomposition and Reconstruction Learning for Micro-Expression Recognition—0
Region attention and graph embedding network for occlusion objective class-based micro-expression recognition—0
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition—0
SelfME: Self-Supervised Motion Learning for Micro-Expression Recognition—0
Inference-Time Gaze Refinement for Micro-Expression Recognition: Enhancing Event-Based Eye Tracking with Motion-Aware Post-ProcessingCode0
A Novel Apex-Time Network for Cross-Dataset Micro-Expression RecognitionCode0
Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression RecognitionCode0
Dual-stream shallow networks for facial micro-expression recognitionCode0
Show:102550
← PrevPage 7 of 8Next →

No leaderboard results yet.