Papers with Code 아카이브
Pedestrian Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Pedestrian detection is the task of detecting pedestrians from a camera.
Further state-of-the-art results (e.g. on the KITTI dataset) can be found at 3D Object Detection.
<span style="color:grey; opacity: 0.6">( Image credit: High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/497626895/darknet
https://github.com/6-dl/darknet_wpb
https://github.com/Aarav-Patel/darknet
https://github.com/Abhijeet2396/darknet
https://github.com/AbhinavJhanwar/face_detection
https://github.com/AbhinavJhanwar/object-detection-classification
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/Adam123wu/Edge-YOLO_algorithm
https://github.com/AdeelH/pytorch-multi-class-focal-loss
https://github.com/Adelaide-AI-Group/FCOS
https://github.com/AdolfoMatias/rede_neural_laranja_maca_adolfo
https://github.com/Ahsanr312/Object-Detection-and-Tracking-using-YOLOv3-and-DeepSort
https://github.com/Ahsanr312/Object-Detection-in-Satellite-Imagery-Using-YOLOv3-
https://github.com/AlexeyAB/darknet
https://github.com/AlphaJia/tf-faster-rcnn
https://github.com/AmeerHamza111/yolo-darknet
https://github.com/AmitNativ1984/yolov3
https://github.com/AndreydeAguiarSalvi/yolo_compression
https://github.com/Angzz/fpn-gluon-cv
https://github.com/ArtLabss/tennis-tracking
https://github.com/AtlasCoCo/Darknet
https://github.com/Atom-min/MLBigWork
https://github.com/Awia00/Predicted-Path-Tracing
https://github.com/BIYTC/mobilenet_maskrcnn
https://github.com/Baibaifan/An-Improved-PeleeNet-Algorithm-with-Feature-Pyramid-Networks-for-Image-Detection-
https://github.com/BlackAngel1111/Yolo3_Pytorch
https://github.com/BonJunKu/ScooterHelmetDetector
https://github.com/Burf/tfdetection
https://github.com/CRIGIM/darknet
https://github.com/CVUsers/Smart-Retail-By-Efficientdet
https://github.com/CZQ0707/mindspore
https://github.com/CahideSara/deneme
https://github.com/Camebush/real-time-yolov4-object-detection
https://github.com/Chamchis/AICCTV
https://github.com/Chang-Chia-Chi/TrackNet-Badminton-Tracking-tensorflow2
https://github.com/ChelseaGH/sidewalk_prototype_AI_Hub
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.