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/byangderek/CCF
공식 코드https://github.com/cabani/MaskedFace-Net
공식 코드MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
https://github.com/caltechvisionlab/frt-rapid-test
공식 코드A Rapid Test for Accuracy and Bias of Face Recognition Technology
https://github.com/canpeng123/fscil_alice
공식 코드Few-Shot Class-Incremental Learning from an Open-Set Perspective
https://github.com/carolineec/EverybodyDanceNow
공식 코드https://github.com/cbsropenproject/6dof_face
공식 코드https://github.com/cc-hpc-itwm/facialgan
공식 코드FacialGAN: Style Transfer and Attribute Manipulation on Synthetic Faces
https://github.com/cc13qq/sapd
공식 코드Detecting Adversarial Faces Using Only Real Face Self-Perturbations
https://github.com/celebv-hq/celebv-hq
공식 코드https://github.com/cgcl-codes/amt-gan
공식 코드Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer
https://github.com/chailab-umich/ModelingIndividualEvaluators
공식 코드https://github.com/chandlerbing65nm/FakeImageDetection
공식 코드https://github.com/chaochao-lin/atr-fas
공식 코드Enhancing Mobile Face Anti-Spoofing: A Robust Framework for Diverse Attack Types under Screen Flash
https://github.com/chaofengc/Face-Sketch
공식 코드Face Sketch Synthesis with Style Transfer using Pyramid Column Feature
https://github.com/chaofengc/Face-Sketch-Wild
공식 코드Semi-Supervised Learning for Face Sketch Synthesis in the Wild
https://github.com/charsyme/Human-Data-Generation-Framework
공식 코드Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization
https://github.com/chelsea234/hifi_ifdl
공식 코드DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection
https://github.com/chelsea234/m2f2_det
공식 코드Rethinking Vision-Language Model in Face Forensics: Multi-Modal Interpretable Forged Face Detector
https://github.com/chelsea234/multi-domain-learning-fas
공식 코드Multi-domain Learning for Updating Face Anti-spoofing Models
https://github.com/chenchao666/Bone-Age-Assessment
공식 코드https://github.com/chenqikong/m3fas
공식 코드M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System
https://github.com/chenzhe207/FDLSR
공식 코드Fisher Discriminative Least Squares Regression for Image Classification
https://github.com/chihfanhsu/fl_detection
공식 코드A Detailed Look At CNN-based Approaches In Facial Landmark Detection
https://github.com/choapinus/densenet10
공식 코드On the Feasibility of Creating Iris Periocular Morphed Images
https://github.com/choyingw/SynergyNet
공식 코드Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry
https://github.com/choyingw/Voice2Mesh
공식 코드Voice2Mesh: Cross-Modal 3D Face Model Generation from Voices
https://github.com/chrisdonahue/sdgan
공식 코드Semantically Decomposing the Latent Spaces of Generative Adversarial Networks
https://github.com/christianbv/AgeNet
공식 코드https://github.com/christophersims/fmri_adhd_classification
공식 코드Highly Accurate FMRI ADHD Classification using time distributed multi modal 3D CNNs
https://github.com/chuangchuangtan/c2p-clip-deepfakedetection
공식 코드C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection
https://github.com/chuangchuangtan/data-independent-operator
공식 코드https://github.com/chuangchuangtan/freqnet-deepfakedetection
공식 코드Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Space Learning
https://github.com/chuangchuangtan/npr-deepfakedetection
공식 코드https://github.com/clad23/clad
공식 코드CLAD: Robust Audio Deepfake Detection Against Manipulation Attacks with Contrastive Learning
https://github.com/cleardusk/3DDFA
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.