Papers with Code 아카이브
Facial Expression Recognition
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 2
- 평가표
- 7
- 보존된 평가 기록
- 9
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Enhancing Ambiguous Dynamic Facial Expression Recognition with Soft Label-based Data Augmentation
Using Vision Language Models to Detect Students' Academic Emotion through Facial Expressions
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition
TKFNet: Learning Texture Key Factor Driven Feature for Facial Expression Recognition
Unsupervised Multiview Contrastive Language-Image Joint Learning with Pseudo-Labeled Prompts Via Vision-Language Model for 3D/4D Facial Expression Recognition
Achieving 3D Attention via Triplet Squeeze and Excitation Block
Some Optimizers are More Equal: Understanding the Role of Optimizers in Group Fairness
Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
SDAFE: A Dual-filter Stable Diffusion Data Augmentation Method for Facial Expression Recognition
FIESTA: Fisher Information-based Efficient Selective Test-time Adaptation
Evaluating Facial Expression Recognition Datasets for Deep Learning: A Benchmark Study with Novel Similarity Metrics
Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data
SIT-FER: Integration of Semantic-, Instance-, Text-level Information for Semi-supervised Facial Expression Recognition
PE-CLIP: A Parameter-Efficient Fine-Tuning of Vision Language Models for Dynamic Facial Expression Recognition
V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression Recognition
Design of an Expression Recognition Solution Employing the Global Channel-Spatial Attention Mechanism
HSEmotion Team at ABAW-8 Competition: Audiovisual Ambivalence/Hesitancy, Emotional Mimicry Intensity and Facial Expression Recognition
Biased Heritage: How Datasets Shape Models in Facial Expression Recognition
MIDAS: Mixing Ambiguous Data with Soft Labels for Dynamic Facial Expression Recognition
Rank-O-ToM: Unlocking Emotional Nuance Ranking to Enhance Affective Theory-of-Mind
Robust Dynamic Facial Expression Recognition
Fréchet Cumulative Covariance Net for Deep Nonlinear Sufficient Dimension Reduction with Random Objects
Faces of Fairness: Examining Bias in Facial Expression Recognition Datasets and Models
Navigating Label Ambiguity for Facial Expression Recognition in the Wild
Interpretable Concept-based Deep Learning Framework for Multimodal Human Behavior Modeling
Experimenting with Affective Computing Models in Video Interviews with Spanish-speaking Older Adults
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition
Multi-face emotion detection for effective Human-Robot Interaction
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
Lifting Scheme-Based Implicit Disentanglement of Emotion-Related Facial Dynamics in the Wild
Impact of Face Alignment on Face Image Quality
Unimodal and Multimodal Static Facial Expression Recognition for Virtual Reality Users with EmoHeVRDB
EmoVerse: Exploring Multimodal Large Language Models for Sentiment and Emotion Understanding
Facial Expression Recognition with Controlled Privacy Preservation and Feature Compensation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.