https://github.com/RuoyuGuo/Visualising-Image-Classification-Models-and-Saliency-Maps
Very Deep Convolutional Networks for Large-Scale Image Recognition
Papers with Code 아카이브
Facial Recognition and Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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- 보존된 평가 기록
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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/Ruturaj123/VGG16-Keras
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/RyanWu2233/Style_GAN2_FFHQ
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/SANKHA1/Vehicle-Detection
https://github.com/SHI-Labs/Neighborhood-Attention-Transformer
https://github.com/SJTU-Thinklab-Det/r3det-on-mmdetection
https://github.com/SSN15/Traffic-sign-recognition-using-deep-learning-and-computer-vision
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/SSusantAchary/FaceDetection-counting-using-MTCNN
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Saiyam26/Deep-Pixel-wise-Binary-Supervision
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/Saiyam26/Face-Anti-Spoofing-using-DeePixBiS
Deep Pixel-wise Binary Supervision for Face Presentation Attack Detection
https://github.com/Sakib1263/1DResNet-Builder-KERAS
https://github.com/Sakib1263/1DResNet-KERAS
https://github.com/Sakib1263/DenseNet-1D-2D-Tensorflow-Keras
https://github.com/Sakib1263/ResNet-Model-Builder-KERAS
https://github.com/Sakib1263/ResNet-Model-Builder-Tensorflow-Keras
https://github.com/Sakib1263/ResNet-ResNeXt-1D-2D-Tensorflow-Keras
https://github.com/Sakib1263/ResNet-ResNetv2-ResNeXt-1D-2D-Tensorflow-Keras
https://github.com/Sakib1263/ResNet1D-Model-Builder-KERAS
https://github.com/Sakib1263/VGG-1D-2D-Tensorflow-Keras
Very Deep Convolutional Networks for Large-Scale Image Recognition
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.