https://github.com/jessegator/sonar
공식 코드Where are we in audio deepfake detection? A systematic analysis over generative and detection models
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/jhb86253817/PIPNet
공식 코드Pixel-in-Pixel Net: Towards Efficient Facial Landmark Detection in the Wild
https://github.com/jhh37/wearmask3d
공식 코드A 3D model-based approach for fitting masks to faces in the wild
https://github.com/jiahao-uts/slpt-master
공식 코드Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning
https://github.com/jiarenchang/facecycle
공식 코드Learning Facial Representations from the Cycle-consistency of Face
https://github.com/jiawei-ren/BalancedMSE
공식 코드https://github.com/jiaxiangshang/MGCNet
공식 코드Self-Supervised Monocular 3D Face Reconstruction by Occlusion-Aware Multi-view Geometry Consistency
https://github.com/jiaxin-ye/emo-dna
공식 코드Emo-DNA: Emotion Decoupling and Alignment Learning for Cross-Corpus Speech Emotion Recognition
https://github.com/jierunchen/tvconv
공식 코드TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing
https://github.com/jimmy-academia/lasgsa
공식 코드https://github.com/jin-s13/COCO-WholeBody
공식 코드https://github.com/jingyang2017/srd_ossl
공식 코드Knowledge Distillation Meets Open-Set Semi-Supervised Learning
https://github.com/jinyugy21/adv-stickers_rhde
공식 코드Adversarial Sticker: A Stealthy Attack Method in the Physical World
https://github.com/jkwang28/honestface
공식 코드HonestFace: Towards Honest Face Restoration with One-Step Diffusion Model
https://github.com/jkwang28/osdface
공식 코드https://github.com/jlee118/nprm
공식 코드https://github.com/jlrex/patt-lite
공식 코드PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition
https://github.com/jmpu/deepfaketextdetection
공식 코드https://github.com/jmpu/webconf21-deepfakes-in-the-wild
공식 코드https://github.com/joelb92/ND_Frontalization_Project
공식 코드https://github.com/jongli747/curricular-sincnet
공식 코드https://github.com/joojs/fairface
공식 코드FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
https://github.com/josephdrahos/sreds
공식 코드https://github.com/juliojj/app-real-age
공식 코드On the effect of age perception biases for real age regression
https://github.com/jung-jun-uk/mixface
공식 코드MixFace: Improving Face Verification Focusing on Fine-grained Conditions
https://github.com/jung-jun-uk/unpg
공식 코드Unified Negative Pair Generation toward Well-discriminative Feature Space for Face Recognition
https://github.com/jungyg/alsuv
공식 코드Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
https://github.com/jungyu0413/Navigating-Label-Ambiguity-NLA-
공식 코드Navigating Label Ambiguity for Facial Expression Recognition in the Wild
https://github.com/jungyu0413/V-NAW
공식 코드V-NAW: Video-based Noise-aware Adaptive Weighting for Facial Expression Recognition
https://github.com/junjun-jiang/Face-Hallucination-Benchmark
공식 코드https://github.com/junjun-jiang/TLcR-RL
공식 코드https://github.com/junshutang/3DFaceShop
공식 코드3DFaceShop: Explicitly Controllable 3D-Aware Portrait Generation
https://github.com/junwan2014/MMDN-master
공식 코드Robust Facial Landmark Detection by Multi-order Multi-constraint Deep Networks
https://github.com/justusschock/shapenet
공식 코드https://github.com/jymoon0613/simfle
공식 코드https://github.com/kaiwang960112/Challenge-condition-FER-dataset
공식 코드Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.