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/collectionslab/book-annotation-classification
https://github.com/crowdai/crowdai-mapping-challenge-mask-rcnn
https://github.com/cwbabel/faster-cnn
https://github.com/daijifeng001/MNC
Instance-aware Semantic Segmentation via Multi-task Network Cascades
https://github.com/davyneven/fastSceneUnderstanding
Semantic Instance Segmentation with a Discriminative Loss Function
https://github.com/delldu/MaskRCNN
https://github.com/deolipankaj/Stone_Detection_MRCNN
https://github.com/devsoft123/fast-cnn
https://github.com/dvl-tum/motsynth-baselines
https://github.com/elonashatri/pitch_mask_rcnn
https://github.com/evaristr/py-faster_rcnn
https://github.com/facebookresearch/detectron
https://github.com/facebookresearch/detectron2
https://github.com/facebookresearch/maskrcnn-benchmark
https://github.com/fdac18/ForensicImages
https://github.com/fsafe/Capstone
https://github.com/godspeedcurry/lung-nodule-detection
https://github.com/guanfuchen/py-faster-rcnn
https://github.com/gymoon10/Instance-Segmentation-with-Discriminative-Loss
Semantic Instance Segmentation with a Discriminative Loss Function
https://github.com/harrybolingot/mymaskrcnn
https://github.com/harryhan618/LaneNet
Semantic Instance Segmentation with a Discriminative Loss Function
https://github.com/hasanirtiza/Pedestron
https://github.com/hellohaozheng/maskrcnn-mindspore
https://github.com/houssemjebari/Fruit-Detection
https://github.com/hq-jiang/instance-segmentation-with-discriminative-loss-tensorflow
Semantic Instance Segmentation with a Discriminative Loss Function
https://github.com/infini8-13/MaskRCNN_tryout
https://github.com/itsasimiqbal/SeBRe
https://github.com/jasjeetIM/Mask-RCNN
https://github.com/jfc4050/detect-to-track
Instance-aware Semantic Segmentation via Multi-task Network Cascades
https://github.com/jhihan/rsna_pneumonia_detection
https://github.com/jiajunhua/facebookresearch-Detectron
https://github.com/jianing-sun/Mask-YOLO
https://github.com/jklife3/maskrcnn-impl
https://github.com/jodumagpi/Xray-ObjSep-v1
https://github.com/jooyounghun/AI-Team-5
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.