https://github.com/prasadsawant5/PointNet
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Papers with Code 아카이브
3D Face Modelling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/princeton-vl/SimpleView
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
https://github.com/priyavrat-misra/xrays-and-gradcam
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/pshashk/seesaw-facenet
AirFace: Lightweight and Efficient Model for Face Recognition
https://github.com/pszemraj/BoulderAreaDetector
https://github.com/pterhoer/FaceImageQuality
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
https://github.com/pterhoer/FingerprintImageQuality
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness
https://github.com/ptran1203/facial_beauty
SCUT-FBP5500: A Diverse Benchmark Dataset for Multi-Paradigm Facial Beauty Prediction
https://github.com/pulp-platform/hwpe-tb
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/pulp-platform/pulp
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/pulp-platform/pulpissimo
An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics
https://github.com/purdue-m2/robust_fairness_withNoisy_labels
Analyzing Fairness in Deepfake Detection With Massively Annotated Databases
https://github.com/pwc-1/Paper-9/tree/main/5/wavlm
https://github.com/pwc-1/Paper-9/tree/main/6/Zero-DCE
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/pwc-1/Paper-9/tree/main/6/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/pytorch/rl/tree/main/examples/cql
https://github.com/pytorch/rl/tree/main/examples/dreamer
https://github.com/pytorch/rl/tree/main/examples/ppo
https://github.com/pytorch/rl/tree/main/examples/sac
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
https://github.com/pytorch/rl/tree/main/examples/td3
Addressing Function Approximation Error in Actor-Critic Methods
https://github.com/pytorch/vision
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/qbxlvnf11/face-detection-MTCNN
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/qianjinhao/circle-loss
Circle Loss: A Unified Perspective of Pair Similarity Optimization
https://github.com/qiaoxiu/facenetRetinaFace
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/qidiso/mobilefacenet-V2
MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices
https://github.com/qihongl/demo-random-search-RL
Simple random search provides a competitive approach to reinforcement learning
https://github.com/qingyujean/Classification-on-imbalanced-data
https://github.com/qiuyu96/carver
Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set
https://github.com/quangson05dt1/keras_facenet_ver1
FaceNet: A Unified Embedding for Face Recognition and Clustering
https://github.com/quantumiracle/Popular-RL-Algorithms
https://github.com/qubvel/efficientnet
https://github.com/qubvel/resnet_152
https://github.com/qvdang-dev/Facial-Recognition
https://github.com/qvdang-dev/Facial-Recognizance
https://github.com/rafaelmata357/Flower-image-classifier
Very Deep Convolutional Networks for Large-Scale Image Recognition
https://github.com/raferguson/CNN-Profile-Picture
Very Deep Convolutional Networks for Large-Scale Image Recognition
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.