https://github.com/vgangal101/VGG_models
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/vgangal101/resnet_models
https://github.com/vicksam/fer-model
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
https://github.com/victespinoza/NeuralStyleTransfer
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/viebboy/MultilinearCompressiveLearningWithPrior
https://github.com/vietanhdev/open-adas
https://github.com/vietdhoang/resnet-18
https://github.com/viethungluu/OCRetina
https://github.com/vijishmadhavan/SkinDeep
Progressive Growing of GANs for Improved Quality, Stability, and Variation
https://github.com/vikramkarthikeyan/Face-R-FCN
Detecting Faces Using Region-based Fully Convolutional Networks
https://github.com/vill-lab/2024-aaai-hpt
https://github.com/vinairesearch/lemul
https://github.com/vinay-EIP/EIP-session-5-assignment
https://github.com/vinayakkailas/Face_Recognition
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vincent-thevenin/Realistic-Neural-Talking-Head-Models
Few-Shot Adversarial Learning of Realistic Neural Talking Head Models
https://github.com/vincenthanna/facenet_on_mnist
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/vineeths96/Gradient-Compression
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/vineeths96/heterogeneous-systems
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/vinits5/learning3d
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/vinod377/STN-OCR
https://github.com/vinod377/STN-OCR-Tensorflow
https://github.com/vinx-2105/madgan-degan
https://github.com/vipermu/ganimation
GANimation: Anatomically-aware Facial Animation from a Single Image
https://github.com/visionNoob/hrnet_pytorch
High-Resolution Representations for Labeling Pixels and Regions
https://github.com/vita-epfl/rock-pytorch
https://github.com/vitoralbiero/face_analysis_pytorch
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vladimirwest/insightface_cinematic
ArcFace: Additive Angular Margin Loss for Deep Face Recognition
https://github.com/vlievin/Unet
https://github.com/vnbot2/arcface
https://github.com/vohoaiviet/sphereface
https://github.com/voqtuyen/CDCN-Face-Anti-Spoofing.pytorch
Searching Central Difference Convolutional Networks for Face Anti-Spoofing
https://github.com/vuongtrannguyenkhoi/darknet
https://github.com/vuthede/heatmap-based-landmarker
https://github.com/vwegn/dm
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/w-sugar/prtr
Deep High-Resolution Representation Learning for Visual Recognition
https://github.com/w510056105/DeepLearning
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.