https://github.com/asankagp/mod20
공식 코드A Multi-viewpoint Outdoor Dataset for Human Action Recognition
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/ashafahi/inceptionv3-transferLearn-poison
공식 코드Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks
https://github.com/asindel/artfacepoints
공식 코드ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
https://github.com/asvspoof-challenge/2021
공식 코드ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan
https://github.com/atzoriandrea/Exploratory-Analysis-in-Face-Authentication
공식 코드Explaining Bias in Deep Face Recognition via Image Characteristics
https://github.com/audeering/w2v2-how-to
공식 코드Dawn of the transformer era in speech emotion recognition: closing the valence gap
https://github.com/autonomousvehiclelaboratory/anonymization
공식 코드https://github.com/awslabs/cis-matching-tasks
공식 코드https://github.com/axeber01/dold
공식 코드https://github.com/azadlab/FExGAN
공식 코드https://github.com/azadlab/FExGAN-Meta
공식 코드https://github.com/azgo14/classification_metric_learning
공식 코드Classification is a Strong Baseline for Deep Metric Learning
https://github.com/azrealwang/sgadv
공식 코드Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition
https://github.com/baidu/AdvBox
공식 코드Advbox: a toolbox to generate adversarial examples that fool neural networks
https://github.com/bairdzhang/smallhardface
공식 코드Robust Face Detection via Learning Small Faces on Hard Images
https://github.com/baiyangwang/emgan
공식 코드https://github.com/baoshengyu/H3R
공식 코드https://github.com/barisbatuhan/dass_det_inference
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisbatuhan/dass_detector
공식 코드Domain-Adaptive Self-Supervised Pre-Training for Face & Body Detection in Drawings
https://github.com/barisgecer/OSTeC
공식 코드https://github.com/barisgecer/TBGAN
공식 코드Synthesizing Coupled 3D Face Modalities by Trunk-Branch Generative Adversarial Networks
https://github.com/barisgecer/facegan
공식 코드https://github.com/barulalithb/stereo-angular-margin
공식 코드Improvising the Learning of Neural Networks on Hyperspherical Manifold
https://github.com/bbenligiray/greedy-face-features
공식 코드https://github.com/bghojogh/Face-Gender-Recognition-Fusion
공식 코드A Fusion-based Gender Recognition Method Using Facial Images
https://github.com/bghojogh/Pixel-Aligned-Face-Recognition
공식 코드Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches
https://github.com/bghojogh/Roweis-Discriminant-Analysis
공식 코드Roweis Discriminant Analysis: A Generalized Subspace Learning Method
https://github.com/bghojogh/Roweisposes
공식 코드Roweisposes, Including Eigenposes, Supervised Eigenposes, and Fisherposes, for 3D Action Recognition
https://github.com/bghojogh/Weighted-Fisher-Discriminant-Analysis
공식 코드Weighted Fisher Discriminant Analysis in the Input and Feature Spaces
https://github.com/bidalab/chatgpt_facebiometrics
공식 코드https://github.com/bieltura/Automotive_face_detector
공식 코드Low cost enhanced security face recognition with stereo cameras
https://github.com/bilylee/DCQ
공식 코드Dynamic Class Queue for Large Scale Face Recognition In the Wild
https://github.com/bing-li-ai/AniGAN
공식 코드AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation
https://github.com/bintsi/adaptive-graph-learning
공식 코드Multimodal brain age estimation using interpretable adaptive population-graph learning
https://github.com/bintsi/brain-age-population-graphs
공식 코드https://github.com/biomedia-mbzuai/fetalclip
공식 코드FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.