https://github.com/MindSpore-paper-code-3/code8/tree/main/faceboxes
FaceNet: A Unified Embedding for Face Recognition and Clustering
Papers with Code 아카이브
3D Face Modelling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MindSpore-paper-code-3/code9/tree/main/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MindSpore-paper-code-3/code9/tree/main/PointNet2
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MindSpore-paper-code-3/code9/tree/main/RetinaFace_ResNet50
RetinaFace: Single-stage Dense Face Localisation in the Wild
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-8/tree/main/SV-X-Softmax
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/MoMe36/BranchingDQN
Action Branching Architectures for Deep Reinforcement Learning
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/Mohnishi/LC3
Information Theoretic Regret Bounds for Online Nonlinear Control
https://github.com/Moon-Xuezha/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/MotorCityCobra/C_plusplus_mpo
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/MrSyee/pg-is-all-you-need
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.