https://github.com/MindSpore-paper-code-3/code9/tree/main/RetinaFace_ResNet50
RetinaFace: Single-stage Dense Face Localisation in the Wild
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/MindSpore-scientific-2/code-10/tree/main/mgan-mindspore
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/MindSpore-scientific-2/code-11/tree/main/SV-X-Softmax
https://github.com/MindSpore-scientific-2/code-2/tree/main/ZoneoutRNN
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
https://github.com/MindSpore-scientific-2/code-4/tree/main/mgan-mindspore
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/MindSpore-scientific-2/code-5/tree/main/Last-Query-Transformer-RNN
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
https://github.com/MindSpore-scientific-2/code-7/tree/main/HCP_Avatar_Inferrence
GSmoothFace: Generalized Smooth Talking Face Generation via Fine Grained 3D Face Guidance
https://github.com/MindSpore-scientific-2/code-9/tree/main/Deep_Feature_Factorization_For_Concept_Discovery
https://github.com/MindSpore-scientific/code-12/tree/main/Deep_Feature_Factorization_For_Concept_Discovery
https://github.com/MindSpore-scientific/code-2/tree/main/Three-Dimensional-Lip-Motion-Network-for-Text-Independent-Speaker-Recognition-master
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
https://github.com/MindSpore-scientific/code-3/tree/main/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/MindSpore-scientific/code-9/tree/main/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/MioChiu/ResNet_TensorFlow
https://github.com/MisaOgura/flashtorch
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/MishaLaskin/vq-vae
https://github.com/MishaLaskin/vqvae
https://github.com/ModelBunker/PointNet-TensorFlow
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MohamadMerchant/Voice-Authentication-and-Face-Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/MohamedAbdelsalam9/TT-Transformer
https://github.com/MohdDanish/3D-face-reconstruction
https://github.com/Moon-Xuezha/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MouxiaoHuang/DUL
https://github.com/MrRiahi/Convolutional-Neural-Networks-Tensorflow
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/Mrnoorsingh/QRCode-and-Face-Recognition-for-Access-Control
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/Mrzhang3389/FaceRecognition
https://github.com/Mrzhang3389/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/Mungosin/Mozgalo
https://github.com/N2ITN/Face2Vec
https://github.com/NASA-NeMO-Net/NeMO-Net
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/NJNischal/Facial-Expression-Recognition-with-CNNs
Challenges in Representation Learning: A report on three machine learning contests
https://github.com/NPilis/Facial-Expression-Recognition
https://github.com/NVIDIA/UnsupervisedLandmarkLearning
Unsupervised Part-Based Disentangling of Object Shape and Appearance
https://github.com/NVIDIA/retinanet-examples
https://github.com/NVlabs/SCOPS
https://github.com/Nacriema/Robust_Face_Recognition
Improving Shadow Suppression for Illumination Robust Face Recognition
https://github.com/Nanway/dfc-vae
FairFace: Face Attribute Dataset for Balanced Race, Gender, and Age
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.