Facial Expression Recognition
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Benchmarks
Most implemented
Challenges in Representation Learning: A report on three machine learning contests
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
Deep Facial Expression Recognition: A Survey
Facial Motion Prior Networks for Facial Expression Recognition
Facial Expression Recognition using Convolutional Neural Networks: State of the Art
Detect Faces Efficiently: A Survey and Evaluations
Papers
Predicting Human Disagreement for Calibrated Dynamic Facial Expression Recognition
Dynamic facial expression recognition (DFER) benchmarks such as DFEW provide multiple annotator votes per clip, yet most models collapse them to a majority label and cannot represent human disagreement at inference time.…
Facial Expression RecognitionAUCH-Net: Action Unit-Based Consistency-Aware Hypergraph Network for Cross-Domain Few-Shot Facial Expression Recognition
Recently, cross-domain few-shot facial expression recognition (CF-FER) has received considerable attention. However, the performance of existing CF-FER methods is still unsatisfactory due to inferior transferable feature…
Facial Expression RecognitionCross-Domain Few-ShotEnhancing Facial Expression Recognition in Head-Mounted Displays with Synthetic Data
Facial expression recognition (FER) is crucial for social interaction in mixed reality environments that employ head-mounted displays (HMD). However, collecting FER data from head-mounted cameras (HMC) is challenging due…
Facial Expression RecognitionReweighting Framewise Attention in Video Transformers for Facial Expression Understanding
Understanding facial expressions in videos requires modeling subtle and localized facial dynamics under unconstrained conditions. Although recent Vision Transformer (ViT)-based video models have shown strong performance …
Facial Expression RecognitionInterpretable Uncertainty Routing Separating Emotion Ambiguity from Distribution Shift in Facial Expression Recognition
Facial expression recognition (FER) is inherently ambiguous: human annotators frequently disagree, and models deployed in real environments face distribution shift. Crucially, these two conditions demand different downst…
Facial Expression RecognitionChehre: An Emoji-Prompted Video Dataset for Perceptually Diverse Facial Expression Recognition
Facial expressions are nonverbal social signals used in human interaction, but facial expression recognition datasets often focus on static images, basic emotion categories, or single deterministic annotations. We introd…
Facial Expression Recognition