Papers with Code 아카이브
Human Parsing
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 2
- 보존된 평가 기록
- 7
Human parsing is the task of segmenting a human image into different fine-grained semantic parts such as head, torso, arms and legs.
<span style="color:grey; opacity: 0.6">( Image credit: Multi-Human-Parsing (MHP) )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yangyucheng000/Mask-RCNN
https://github.com/yangyucheng000/maskrcnn_mobilenetv1
https://github.com/yczhang1017/SSD_resnet_pytorch
https://github.com/yj-littlesky/py-faster-rcnn
https://github.com/ykasten/layered-neural-atlases
https://github.com/ytx21cn/CDCL-human-seg
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
https://github.com/yubaoliu/rds-slam
https://github.com/yuqizhu/covid19-classification
Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation
https://github.com/zhangchi9/Airbus_Ship_Detection
https://github.com/zhong110020/py-faster-rcnn
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.