Facial Expression Recognition (FER)
25개 벤치마크 · 논문 492편 · 이 태스크의 논문 보기 →
Benchmarks
AffectNet
RAF-DB
FER2013
FER+
CK+
FERPlus
JAFFE
SFEW
Aff-Wild2
BP4D
DISFA
FERG
MMI
Oulu-CASIA
Real-World Affective Faces
CAER
CREMA-D
Cohn-Kanade
ExpW
RAVDESS
RaFD
SAVEE
^(#$!@#$)(()))******
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
Detect Faces Efficiently: A Survey and Evaluations
Papers
Multimodal Prompt Alignment for Facial Expression Recognition
Prompt learning has been widely adopted to efficiently adapt vision-language models (VLMs) like CLIP for various downstream tasks. Despite their success, current VLM-based facial expression recognition (FER) methods stru…
Facial Expression RecognitionFacial Expression Recognition (FER)Large Language ModelPrompt LearningEfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition
Facial expression recognition (FER), aiming to classify human emotions automatically, is a significant problem in computer vision. Recent advancements in deep learning and computer vision have led to notable progress in …
Deep LearningEmotion RecognitionFacial Emotion RecognitionFacial Expression Recognition+2TKFNet: Learning Texture Key Factor Driven Feature for Facial Expression Recognition
Facial expression recognition (FER) in the wild remains a challenging task due to the subtle and localized nature of expression-related features, as well as the complex variations in facial appearance. In this paper, we …
Facial Expression RecognitionFacial Expression Recognition (FER)Achieving 3D Attention via Triplet Squeeze and Excitation Block
The emergence of ConvNeXt and its variants has reaffirmed the conceptual and structural suitability of CNN-based models for vision tasks, re-establishing them as key players in image classification in general, and in fac…
Facial Expression RecognitionFacial Expression Recognition (FER)image-classificationImage Classification+1SDAFE: A Dual-filter Stable Diffusion Data Augmentation Method for Facial Expression Recognition
Facial expressions are a powerful medium for conveying emotions. In facial expression recognition (FER) field, the difficulty of collecting specific expressions often leads to class imbalance in mainstream datasets, sign…
Data AugmentationFacial Expression RecognitionFacial Expression Recognition (FER)Evaluating Facial Expression Recognition Datasets for Deep Learning: A Benchmark Study with Novel Similarity Metrics
This study investigates the key characteristics and suitability of widely used Facial Expression Recognition (FER) datasets for training deep learning models. In the field of affective computing, FER is essential for int…
Facial Expression RecognitionFacial Expression Recognition (FER)