Papers with Code 아카이브

Human Part Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

0

평가표

6

보존된 평가 기록

19

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ssanyachetwani/Fashion-Trend-Detection-and-Recommendation-Model

Mask R-CNN

https://github.com/stanleycelestin1/AirsimDetectron

Mask R-CNN

https://github.com/sunhui1234/haha

Mask R-CNN

https://github.com/sunqiangxtcsun/faster-rcnn

Mask R-CNN

https://github.com/tensorflow/models

Searching for Efficient Multi-Scale Architectures for Dense Image Prediction

https://github.com/tensorflow/models/tree/master/official/vision

Mask R-CNN

https://github.com/tensorpack/tensorpack/tree/master/examples/FasterRCNN

Mask R-CNN

https://github.com/tryolabs/luminoth

Mask R-CNN

https://github.com/vimalabs/VIMA

Mask R-CNN

https://github.com/waspinator/deep-learning-explorer

Mask R-CNN

https://github.com/xiuyu0000/papers_with_examples/tree/main/maskrcnn

Mask R-CNN

https://github.com/xjnpark/ds

Mask R-CNN

https://github.com/xunhen/py-faster-rcnn-wjc

Mask R-CNN

https://github.com/xzabg/faster-rcnn-with-Caltech

Mask R-CNN

https://github.com/yangyucheng000/Mask-RCNN

Mask R-CNN

https://github.com/yangyucheng000/maskrcnn_mobilenetv1

Mask R-CNN

https://github.com/yczhang1017/SSD_resnet_pytorch

Mask R-CNN

https://github.com/yj-littlesky/py-faster-rcnn

Mask R-CNN

https://github.com/ykasten/layered-neural-atlases

Mask R-CNN

https://github.com/ytx21cn/CDCL-human-seg

Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation

https://github.com/yubaoliu/rds-slam

Mask R-CNN

https://github.com/yuqizhu/covid19-classification

Cross-Domain Complementary Learning Using Pose for Multi-Person Part Segmentation

https://github.com/zhangchi9/Airbus_Ship_Detection

Mask R-CNN

https://github.com/zhong110020/py-faster-rcnn

Mask R-CNN

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.