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/shanface33/deepfake_model_attribution
공식 코드https://github.com/shanface33/gpt4mf_ub
공식 코드Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
https://github.com/shangeth/Speaker-Representation-for-Speaker-Profiling
공식 코드Learning Speaker Representation with Semi-supervised Learning approach for Speaker Profiling
https://github.com/sharpstill/AU_R-CNN
공식 코드AU R-CNN: Encoding Expert Prior Knowledge into R-CNN for Action Unit Detection
https://github.com/shawnxyang/tip-im
공식 코드Towards Face Encryption by Generating Adversarial Identity Masks
https://github.com/shengfly/global-local-transformer
공식 코드https://github.com/sherrycattt/REGDet
공식 코드https://github.com/shighghyujie/newpatch-rl
공식 코드Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks
https://github.com/shiluo1990/SFA
공식 코드https://github.com/shiluo1990/bdc
공식 코드Bounding-box deep calibration for high performance face detection
https://github.com/shimmer-ghq/deepfidelity
공식 코드DeepFidelity: Perceptual Forgery Fidelity Assessment for Deepfake Detection
https://github.com/shrezaei/Target-Agnostic-Attack
공식 코드A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning
https://github.com/shuchaoduan/qafe-net
공식 코드QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
https://github.com/shuvenduroy/activefer
공식 코드Active Learning with Contrastive Pre-training for Facial Expression Recognition
https://github.com/shuvenduroy/ssl_fer
공식 코드Analysis of Semi-Supervised Methods for Facial Expression Recognition
https://github.com/shuvenduroy/ssl_fer_ood
공식 코드https://github.com/siddiquelatif/URDU-Dataset
공식 코드Cross Lingual Speech Emotion Recognition: Urdu vs. Western Languages
https://github.com/silence-tang/artnerf
공식 코드ArtNeRF: A Stylized Neural Field for 3D-Aware Cartoonized Face Synthesis
https://github.com/silvialaurapintea/reg-cls
공식 코드A step towards understanding why classification helps regression
https://github.com/simogroup/3dfair
공식 코드3D Facial Imperfection Regeneration: Deep learning approach and 3D printing prototypes
https://github.com/skjack/diffusionfake
공식 코드DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
https://github.com/skrantidatta/lipinc
공식 코드https://github.com/skrantidatta/lipinc-v2
공식 코드Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies
https://github.com/skylar-sutherland/single-scan-3dmms
공식 코드https://github.com/slundberg/shap
공식 코드https://github.com/smile-ffg/he-man-concrete
공식 코드HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models
https://github.com/smuelpeng/sgps-noisefreedml
공식 코드https://github.com/socialabubi/iFakeFaceDB
공식 코드GANprintR: Improved Fakes and Evaluation of the State of the Art in Face Manipulation Detection
https://github.com/sohailahmedkhan/CLIPping-the-Deception
공식 코드CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
https://github.com/soheilb/multimodal_dictionary_learning
공식 코드Multimodal Task-Driven Dictionary Learning for Image Classification
https://github.com/somuchtome/faceswap
공식 코드https://github.com/songluchuan/adasr-talkinghead
공식 코드Adaptive Super Resolution For One-Shot Talking-Head Generation
https://github.com/sowmen/face-cutout
공식 코드https://github.com/sowwnn/KFusion-Dual-Domain-for-Speech-to-Landmarks
공식 코드KAN-Based Fusion of Dual-Domain for Audio-Driven Facial Landmarks Generation
https://github.com/spaghettisystems/emotion_whisper
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.