https://github.com/icey-zhang/RetinaFace_paddle
RetinaFace: Single-stage Dense Face Localisation in the Wild
Papers with Code 아카이브
Face Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/iitmcvg/Demo-of-face-detection-and-counting-
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/ililily/retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/jacke121/A-Light-and-Fast-Face-Detector-for-Edge-Devices
https://github.com/jason90330/EdgeFinal
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/jimheaton/Ultra96_ML_Embedded_Workshop
DenseBox: Unifying Landmark Localization with End to End Object Detection
https://github.com/jimmy0087/faceai-master
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/jmysu/ESP32CAM-FaceDetect-Line-Notify
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/jnulzl/Pytorch_Retinaface_To_Caffe
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/jung-jun-uk/mixface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/kabrau/FaceDetection
https://github.com/kbsriharsha/FacialEmotionAnalysis
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/kentaroy47/BlazeFace_Person.pytorch
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/khai9xht/Multitask_head_pose
Simultaneous face detection and 360 degree headpose estimation
https://github.com/khyeyoon/face_recognition
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/kingcong/Zero-DCE
Low-Light Image and Video Enhancement Using Deep Learning: A Survey
https://github.com/kingcong/Zero-DCE-
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
https://github.com/kmohanku/Low-Light-Image-Video-Enhancement
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement
https://github.com/krantirk/Face-detection-and-counting-
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/kuaikuaikim/DFace
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/kumarnikhil936/Facial-Emotion-Recognition
Real-time Convolutional Neural Networks for Emotion and Gender Classification
https://github.com/lidio601/node-facedetect-supyo
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/lijiannuist/lightDSFD
https://github.com/liulaomo/go-ai-related
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/longnguyen2/blazeface
BlazeFace: Sub-millisecond Neural Face Detection on Mobile GPUs
https://github.com/lyp-deeplearning/awesome-retinal-registration
https://github.com/magicsunday/pico
Object Detection with Pixel Intensity Comparisons Organized in Decision Trees
https://github.com/mahxn0/RetinaFace_For_Face_Plate_Detect
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/malin9402/arcface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/matlab-deep-learning/mtcnn-face-detection
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/mdsarfarazulh/face-verification-facenet-mtcnn
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks
https://github.com/melgor/pyface
UMDFaces: An Annotated Face Dataset for Training Deep Networks
https://github.com/mindspore-ai/contrib/tree/master/papers/Zero-DCE
Low-Light Image and Video Enhancement Using Deep Learning: A Survey
https://github.com/mindspore-ai/contrib/tree/master/papers/Zero-DCE%2B%2B
Learning to Enhance Low-Light Image via Zero-Reference Deep Curve Estimation
https://github.com/mindspore-ai/models/blob/master/research/cv/retinaface
RetinaFace: Single-stage Dense Face Localisation in the Wild
https://github.com/mindspore-ai/models/tree/master/official/cv/centerface
CenterFace: Joint Face Detection and Alignment Using Face as Point
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.