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/johnsebin97/darknet
https://github.com/jolibrain/caffe
https://github.com/jonvthvn90/Project
https://github.com/juergenlandauer/Maya-Challenge
https://github.com/justinkay/repulsion-loss-detectron2
https://github.com/k5iogura/darknetAB
https://github.com/kadirnar/yolov6-pip
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
https://github.com/kadirnar/yolov7-pip
YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
https://github.com/kalelpark/ral
https://github.com/kalyo-zjl/APD
https://github.com/karan96/NewOne
https://github.com/kaustavsenkvs/Deep-Learning-Mini-Project
https://github.com/kawshik8/DL-project
https://github.com/kentttttt/darknet
https://github.com/khaled2ahmed/k2a
https://github.com/khalidw/MOT16_Annotator
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
https://github.com/khanh-moriaty/DarknetAlexey
https://github.com/kiruthick101/darknet
https://github.com/kn-joshua/Modality-Balanced-Multispectral-Pedestrian-Detection
Improving Multispectral Pedestrian Detection by Addressing Modality Imbalance Problems
https://github.com/kohillyang/mx-detection
https://github.com/kongzhiyou/darknet-master
https://github.com/kornia/kornia
https://github.com/kuangliu/pytorch-fpn
https://github.com/kusti8/yolov3
https://github.com/kvijaykrish/Bosch_AI_VehicleClassification
https://github.com/kyunghwan/darknet_v3
https://github.com/laclouis5/darknet2
https://github.com/lanmei1211/face
https://github.com/latentgnn/maskrcnn-benchmark-latentgnn
https://github.com/lhcezx/Graph-FPN
https://github.com/li-yibing/oceannet
https://github.com/libiseller/MobileNetV2-dynamicFPN
https://github.com/lichuanqi/YOLOV4_Darknet
https://github.com/lijain/FCOS-change
https://github.com/lipengfeizju/Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.