Papers with Code 아카이브
Pedestrian Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 9
- 보존된 평가 기록
- 92
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/ChestnutLi/tf-faster-rcnn
https://github.com/Chris-On-PC/darknet
https://github.com/ChrisLee63/person_search
Joint Detection and Identification Feature Learning for Person Search
https://github.com/ChristianMarzahl/ObjectDetection
https://github.com/Cjiangbpcs/cjiang.github.io
https://github.com/Code-Fight/darknet_study
https://github.com/Congpeiliang/yolo
https://github.com/CycloneBoy/PPDetectionPytorch
https://github.com/DIG-Beihang/OPIXray
https://github.com/DInesh1234-wq/tyredataset
https://github.com/DaloroAT/first_break_picking
https://github.com/DarkGeekMS/Pytorch-YOLOv3-Implementation
https://github.com/DavianYang/yolo.ai
https://github.com/DeNA/PyTorch_YOLOv3
https://github.com/Deci-AI/super-gradients
https://github.com/Demonhesusheng/darknet_v2
https://github.com/DengpanFu/LUPerson
https://github.com/DetectionTeamUCAS/FCOS_GluonCV
https://github.com/DetectionTeamUCAS/FPN_Tensorflow
https://github.com/DetectionTeamUCAS/RetinaNet_Tensorflow_Rotation
https://github.com/DevBruce/YOLOv3-TF2
https://github.com/DonCorle0ne/damage_detection
https://github.com/DrMMZ/RetinaNet
https://github.com/EMI-Group/FaPN
https://github.com/EMsnap/RobotSorting
https://github.com/ENSTA-U2IS-AI/torch-uncertainty
https://github.com/EmGarr/kerod
https://github.com/FL77N/RetinaNet-Based-on-PPdet
https://github.com/FarzamIHPC/YoloV3_mask
https://github.com/FlorinAndrei/TensorAim
https://github.com/FluteXu/ms-project
https://github.com/FlyingAnt2018/darknet-modify
https://github.com/Fw9wef/DetectorGAN
https://github.com/GXYM/Focal-loss
https://github.com/Gabriel-Macias/robust_frcnn
Automatic adaptation of object detectors to new domains using self-training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.