https://github.com/Sakib1263/VGG-1D-2D-Tensorflow-Keras
Very Deep Convolutional Networks for Large-Scale Image Recognition
Papers with Code 아카이브
Face Reconstruction
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Face reconstruction is the task of recovering the facial geometry of a face from an image.
<span style="color:grey; opacity: 0.6">( Image credit: Microsoft Deep3DFaceReconstruction )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/Sakib1263/VGG-Model-Builder-KERAS
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Sakib1263/VGG-Model-Builder-Tensorflow-Keras
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/SamarpanDas/Face-Recognition-Face-Verification
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Sangkwun/Resnet
https://github.com/Sangohe/pgan_thesis
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/SanketAgrawal/Catagorical-Focal-Loss
https://github.com/SaoYan/GenerativeSkinLesion
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/SarthakGarg13/OTOMYCOSIS
https://github.com/Sarthaks21/Facenet-with-MTCNN-and-SVM
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Satyake/Triplet-Loss_Siamese_NN
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Saurav0074/Cartoon-Face-Detection-and-Recognition
Bringing Cartoons to Life: Towards Improved Cartoon Face Detection and Recognition Systems
https://github.com/SeongwoongJo/Multimodal-Emotional-Recognition
Frame attention networks for facial expression recognition in videos
https://github.com/SeoroMin/transformer_pytorch
https://github.com/SeoroMin/transformer_pytorch_ver2
https://github.com/Seth-Park/MultimodalExplanations
https://github.com/SethEBaldwin/Resnet
https://github.com/SeungyounShin/Adaptive-Wing-Loss-for-Robust-Face-Alignment-via-Heatmap-Regression
Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression
https://github.com/SeungyounShin/EXTD
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse
https://github.com/SeungyounShin/GroupFace
GroupFace: Learning Latent Groups and Constructing Group-based Representations for Face Recognition
https://github.com/SevenZhan/Pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/SforAiDl/KD_Lib
https://github.com/ShadowShadowWong/update-pointnet-work
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/ShaharrHorn/Detection-Game-logic
https://github.com/ShaojieJiang/tldr
https://github.com/ShawnDing1994/AOFP
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition
https://github.com/ShawnNew/shape-alpha-matting
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/ShenYujun/InterFaceGAN
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/ShiqiYu/libfacedetection
https://github.com/Shivamt99/Capstone_Project
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Shraddha2013/customyolo
https://github.com/Shraddha2013/darknett
https://github.com/Shraddha2013/darknetyol
https://github.com/Shraddha2013/darknetyolo
https://github.com/Shraddha2013/darknetyolo3
https://github.com/Shraddha2013/mydarknetyolo
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.