Papers with Code 아카이브

3D Instance Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

1

평가표

9

보존된 평가 기록

79

코드

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

https://github.com/facebookresearch/maskrcnn-benchmark

Mask R-CNN

https://github.com/fdac18/ForensicImages

Mask R-CNN

https://github.com/fepegar/unet

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

https://github.com/francisengelmann/3D-MPA

3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation

https://github.com/fsafe/Capstone

Mask R-CNN

https://github.com/godspeedcurry/lung-nodule-detection

Mask R-CNN

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

Mask R-CNN

https://github.com/gvtulder/elasticdeform

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

https://github.com/harrybolingot/mymaskrcnn

Mask R-CNN

https://github.com/hellohaozheng/maskrcnn-mindspore

Mask R-CNN

https://github.com/houssemjebari/Fruit-Detection

Mask R-CNN

https://github.com/hxdengBerkeley/PointCNN.Pytorch

PointCNN: Convolution On $\mathcal{X}$-Transformed Points

https://github.com/infini8-13/MaskRCNN_tryout

Mask R-CNN

https://github.com/itsasimiqbal/SeBRe

Mask R-CNN

https://github.com/jamiljami/Unet

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

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

Mask R-CNN

https://github.com/jhihan/rsna_pneumonia_detection

Mask R-CNN

https://github.com/jiajun169/mindspore_models/tree/main/Unet3d

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

https://github.com/jiajunhua/facebookresearch-Detectron

Mask R-CNN

https://github.com/jianing-sun/Mask-YOLO

Mask R-CNN

https://github.com/jklife3/maskrcnn-impl

Mask R-CNN

https://github.com/jodumagpi/Xray-ObjSep-v1

Mask R-CNN

https://github.com/jooyounghun/AI-Team-5

Mask R-CNN

https://github.com/jremillard/images-to-osm

Mask R-CNN

https://github.com/jylins/core-text

Mask R-CNN

https://github.com/kbardool/mrcnn3

Mask R-CNN

https://github.com/kdethoor/panoptictorch

Mask R-CNN

https://github.com/kilgore92/PyTorch-UNet

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

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

Mask R-CNN

https://github.com/lanlan96/3drm

PointCNN: Convolution On $\mathcal{X}$-Transformed Points

https://github.com/leochangzliao/OPBM

Mask R-CNN

https://github.com/leohsuofnthu/Pytorch-IterativeFCN

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

https://github.com/leonardhan1979/fasterRCNN

Mask R-CNN

https://github.com/lichengunc/mask-faster-rcnn

Mask R-CNN

https://github.com/lincaiming/py-faster-rcnn-update

Mask R-CNN

https://github.com/lincaiming/py-faster-rcnn-windows

Mask R-CNN

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