https://github.com/xmba15/ai4eo_map_your_city
공식 코드Building Age Estimation: A New Multi-Modal Benchmark Dataset and Community Challenge
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/xmed-lab/ucvme
공식 코드https://github.com/xtinkt/editable
공식 코드https://github.com/xuyingzhongguo/deepfakeannotations
공식 코드Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
https://github.com/xuyingzhongguo/mcx-api
공식 코드Learning Pairwise Interaction for Generalizable DeepFake Detection
https://github.com/xuyingzhongguo/vod
공식 코드VoD: Learning Volume of Differences for Video-Based Deepfake Detection
https://github.com/xxtars/emo-llama
공식 코드EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning
https://github.com/ya332/robust_sleepnets
공식 코드https://github.com/yafuly/deepfaketextdetect
공식 코드https://github.com/yafuly/mage
공식 코드https://github.com/yaoing/dan
공식 코드Distract Your Attention: Multi-head Cross Attention Network for Facial Expression Recognition
https://github.com/yaojieliu/CVPR2019-DeepTreeLearningForZeroShotFaceAntispoofing
공식 코드https://github.com/yaojieliu/ECCV20-STDN
공식 코드https://github.com/yaojieliu/ECCV2018-FaceDeSpoofing
공식 코드https://github.com/yaojieliu/ICCVW2017-DenseFaceAlignment
공식 코드https://github.com/yaselley/ssl_layerwise_deepfake
공식 코드Comprehensive Layer-wise Analysis of SSL Models for Audio Deepfake Detection
https://github.com/ydc123/Dark_Surrogate_Model
공식 코드Boosting the Adversarial Transferability of Surrogate Models with Dark Knowledge
https://github.com/ydwen/opensphere/blob/main/opensphere/module/head/simple.py
공식 코드https://github.com/yelboudouri/EmoNeXt
공식 코드https://github.com/yerfor/Real3DPortrait
공식 코드Real3D-Portrait: One-shot Realistic 3D Talking Portrait Synthesis
https://github.com/yermandy/deepfake-detection
공식 코드Unlocking the Hidden Potential of CLIP in Generalizable Deepfake Detection
https://github.com/ygtxr1997/reliableswap
공식 코드ReliableSwap: Boosting General Face Swapping Via Reliable Supervision
https://github.com/yingjiacheng/restorerid
공식 코드RestorerID: Towards Tuning-Free Face Restoration with ID Preservation
https://github.com/yinhefeng/LCLRRDL
공식 코드Face Recognition via Locality Constrained Low Rank Representation and Dictionary Learning
https://github.com/yinhefeng/soigo
공식 코드Face recognition via compact second order image gradient orientations
https://github.com/yipersevere/age-estimation
공식 코드https://github.com/yjyddq/DLIF
공식 코드https://github.com/ykykyk112/STIG
공식 코드https://github.com/yl-1993/learn-to-cluster
공식 코드https://github.com/yliuaa/bnmr-faircompface
공식 코드https://github.com/yoctta/multiple-attention
공식 코드https://github.com/yongyizang/SingFake
공식 코드https://github.com/youqingxiaozhua/apvit
공식 코드Vision Transformer with Attentive Pooling for Robust Facial Expression Recognition
https://github.com/yuangan/VidFace
공식 코드VidFace: A Full-Transformer Solver for Video FaceHallucination with Unaligned Tiny Snapshots
https://github.com/yuangan/eat_code
공식 코드Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation
https://github.com/yuangan/silencer
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.