https://github.com/yuankaishen2001/Self-adjusting-AU
공식 코드Multi-scale Promoted Self-adjusting Correlation Learning for Facial Action Unit Detection
Papers with Code 아카이브
Facial Recognition and Modelling
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Facial tasks in machine learning operate based on images or video frames (or other datasets) focussed on human faces.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yuankaishen2001/auformer
공식 코드AUFormer: Vision Transformers are Parameter-Efficient Facial Action Unit Detectors
https://github.com/yule-li/MassFace
공식 코드MassFace: an efficient implementation using triplet loss for face recognition
https://github.com/yuleung/mixbct
공식 코드https://github.com/yulu0724/EmbeddingDistillation
공식 코드Learning Metrics from Teachers: Compact Networks for Image Embedding
https://github.com/yunan-wang33/sdml
공식 코드Multimodal Fake News Detection: MFND Dataset and Shallow-Deep Multitask Learning
https://github.com/yunyikristy/global_local
공식 코드https://github.com/yuval-alaluf/SAM
공식 코드Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
https://github.com/yvesalexandre/convnet-metadata
공식 코드Modeling the Temporal Nature of Human Behavior for Demographics Prediction
https://github.com/yvonnemamama/ggd
공식 코드https://github.com/yylgoodlucky/hdtr
공식 코드https://github.com/yyx-future/la-cmfer
공식 코드https://github.com/yzy-stack/effort-aigi-detection
공식 코드Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection
https://github.com/yzyouzhang/asvspoof2021_air
공식 코드UR Channel-Robust Synthetic Speech Detection System for ASVspoof 2021
https://github.com/zamdimon/distortion-generator
공식 코드Unrecognizable Yet Identifiable: Image Distortion with Preserved Embeddings
https://github.com/zblasingame/DiM
공식 코드Leveraging Diffusion For Strong and High Quality Face Morphing Attacks
https://github.com/zblasingame/Greedy-DiM
공식 코드Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs
https://github.com/zczcwh/poster
공식 코드POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition
https://github.com/zengbohan0217/FNeVR
공식 코드https://github.com/zengbohan0217/fadm
공식 코드https://github.com/zengqunzhao/exp-clip
공식 코드Enhancing Zero-Shot Facial Expression Recognition by LLM Knowledge Transfer
https://github.com/zeroqiaoba/gpt4v-emotion
공식 코드GPT-4V with Emotion: A Zero-shot Benchmark for Generalized Emotion Recognition
https://github.com/zerosansan/fg2020_abaw
공식 코드Deep Convolutional Neural Network Based Facial Expression Recognition in the Wild
https://github.com/zfkarl/leaf
공식 코드LEAF: Unveiling Two Sides of the Same Coin in Semi-supervised Facial Expression Recognition
https://github.com/zhangchenxu528/FACIAL
공식 코드FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning
https://github.com/zhangdatalab/chgat
공식 코드https://github.com/zhangmenghe/mediapipe
공식 코드FaceAtlasAR: Atlas of Facial Acupuncture Points in Augmented Reality
https://github.com/zhangqianhui/tt-gnerf
공식 코드https://github.com/zhao-zilong/MotivationCaseStudies
공식 코드Enhancing Robustness of On-line Learning Models on Highly Noisy Data
https://github.com/zhaoweicai/mscnn
공식 코드A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection
https://github.com/zhaoyuzhi/childpredictor
공식 코드ChildPredictor: A Child Face Prediction Framework with Disentangled Learning
https://github.com/zhelishisongjie/ssfer
공식 코드https://github.com/zhenglab/ffdbackbone
공식 코드https://github.com/zhenglinzhou/star
공식 코드STAR Loss: Reducing Semantic Ambiguity in Facial Landmark Detection
https://github.com/zhenglisec/decision-based-mia
공식 코드https://github.com/zhenglisec/unganable
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.