https://github.com/Li-Chongyi/Zero-DCE_extension
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
Papers with Code 아카이브
Face Detection
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Face Detection is a computer vision task that involves automatically identifying and locating human faces within digital images or videos. It is a fundamental technology that underpins many applications such as face recognition, face tracking, and facial analysis.
<span style="color:grey; opacity: 0.6">( Image credit: insightface )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/MatGod7/Retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/MaximilianHollis/Maskify
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/Mimigatto/face-mask-detection
MaskedFace-Net -- A Dataset of Correctly/Incorrectly Masked Face Images in the Context of COVID-19
https://github.com/Mind23-2/MindCode-101/tree/main/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/Mind23-2/MindCode-14
CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/Mind23-2/MindCode-3/tree/main/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/Mind23-2/MindCode-41
https://github.com/Mind23-2/MindCode-5/tree/main/PyramidBox
PyramidBox++: High Performance Detector for Finding Tiny Face
https://github.com/Mind23-2/MindCode-59
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Mind23-2/MindCode-71
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/MindCode-4/code-14/tree/main/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/MindSpore-paper-code-2/code2/tree/main/PyramidBox
PyramidBox++: High Performance Detector for Finding Tiny Face
https://github.com/MindSpore-paper-code-3/code3/tree/main/FaceDetection
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
https://github.com/MindSpore-paper-code-3/code6/tree/main/centerface
CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/MindSpore-paper-code-3/code7/tree/main/FaceDetection
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
https://github.com/MindSpore-paper-code-3/code7/tree/main/faceboxes
https://github.com/MindSpore-paper-code-3/code8/tree/main/FaceDetection
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
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-2/tree/main/ZoneoutRNN
RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference
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/code-9/tree/main/Zero-DCE%2B%2B
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/Mrnoorsingh/QRCode-and-Face-Recognition-for-Access-Control
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/Mrzhang3389/MTCNN
Real-world adversarial attack on MTCNN face detection system
https://github.com/N2ITN/Face2Vec
https://github.com/NeekHua/Pytorch_Retinaface_use_owner_data_test
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/NumericalAdvantage/ld-node-facedetector-2
https://github.com/OFRIN/Tensorflow_RetinaFace
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/ORB-HD/deface
CenterFace: Joint Face Detection and Alignment Using Face as Point
https://github.com/OUC-VAS/FacePoison
Hiding Faces in Plain Sight: Defending DeepFakes by Disrupting Face Detection
https://github.com/PaddlePaddle/PaddleDetection
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/PuchatekwSzortach/face_detection
Multi-view Face Detection Using Deep Convolutional Neural Networks
https://github.com/Qengineering/Face-Mask-Detection-Jetson-Nano
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Qengineering/Face-Mask-Detection-Raspberry-Pi-64-bits
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Qengineering/Face-detection-Raspberry-Pi-32-64-bits
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/Qengineering/LFFD-MNN-Jetson-Nano
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.