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/grip-unina/id-reveal
공식 코드https://github.com/grip-unina/poi-forensics
공식 코드https://github.com/gsethan17/CAPNet_ABAW2021
공식 코드Causal affect prediction model using a facial image sequence
https://github.com/guanghaozhu663/skd-tstsan
공식 코드https://github.com/guanjiyang/sac_jc
공식 코드https://github.com/gufranSabri/FSBI
공식 코드FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
https://github.com/guillermogotre/cusp
공식 코드https://github.com/guoyang9/class-imbalance-VQA
공식 코드Loss re-scaling VQA: Revisiting the LanguagePrior Problem from a Class-imbalance View
https://github.com/guoyurong0104/crl-code
공식 코드Competing Ratio Loss for Discriminative Multi-class Image Classification
https://github.com/gurayozgur/foundpad
공식 코드FoundPAD: Foundation Models Reloaded for Face Presentation Attack Detection
https://github.com/gurayozgur/madation
공식 코드MADation: Face Morphing Attack Detection with Foundation Models
https://github.com/gy20073/compact_bilinear_pooling
공식 코드https://github.com/gyh5421/unified_deep_clustering
공식 코드https://github.com/hadushhailu/daal-dml
공식 코드DAAL: Density-Aware Adaptive Line Margin Loss for Multi-Modal Deep Metric Learning
https://github.com/haibo-qiu/SynFace
공식 코드https://github.com/haibo-qiu/from
공식 코드End2End Occluded Face Recognition by Masking Corrupted Features
https://github.com/haiyuwu/ba-test-dataset
공식 코드What Should Be Balanced in a "Balanced" Face Recognition Dataset?
https://github.com/haiyuwu/celebamso
공식 코드https://github.com/haiyuwu/facebrightness
공식 코드Face Recognition Accuracy Across Demographics: Shining a Light Into the Problem
https://github.com/haiyuwu/logicalconsistency
공식 코드Logical Consistency and Greater Descriptive Power for Facial Hair Attribute Learning
https://github.com/haiyuwu/sota-face-recognition-train-and-test
공식 코드https://github.com/halmstaduniversitybiometrics/lfw-beautified
공식 코드LFW-Beautified: A Dataset of Face Images with Beautification and Augmented Reality Filters
https://github.com/hamzah-luqman/mfr
공식 코드Ensemble Learning using Transformers and Convolutional Networks for Masked Face Recognition
https://github.com/hanbo-cheng/dawn-pytorch
공식 코드https://github.com/hangyu94/ada-cm
공식 코드Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin
https://github.com/hanssuny/diffam
공식 코드DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection
https://github.com/hanweikung/face_anon_simple
공식 코드https://github.com/hanwu3125/os-sketch
공식 코드One-shot Face Sketch Synthesis in the Wild via Generative Diffusion Prior and Instruction Tuning
https://github.com/haofanwang/accurate-head-pose
공식 코드https://github.com/haoosz/ffr-net
공식 코드A Unified Framework for Masked and Mask-Free Face Recognition via Feature Rectification
https://github.com/haoxin917/3dface
공식 코드3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder
https://github.com/happy-jihye/Cartoon-StyleGan2
공식 코드https://github.com/happynear/AMSoftmax
공식 코드https://github.com/happynear/NormFace
공식 코드https://github.com/happynear/PainRegression
공식 코드Regularizing Face Verification Nets For Pain Intensity Regression
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.