Papers with Code 아카이브

Object Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

3

평가표

1

보존된 평가 기록

2

코드

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

https://github.com/code-implementation1/Code3/tree/main/EGnet

https://github.com/code-implementation1/Code9/tree/main/MaskRCNN/maskrcnn_mobilenetv1

Mask R-CNN

https://github.com/cokowpublic/Nuclei-Segmentation

Mask R-CNN

https://github.com/collectionslab/Omniscribe

Mask R-CNN

https://github.com/collectionslab/annotations-computervision

Mask R-CNN

https://github.com/collectionslab/book-annotation-classification

Mask R-CNN

https://github.com/crowdai/crowdai-mapping-challenge-mask-rcnn

Mask R-CNN

https://github.com/cwbabel/faster-cnn

Mask R-CNN

https://github.com/delldu/MaskRCNN

Mask R-CNN

https://github.com/deolipankaj/Stone_Detection_MRCNN

Mask R-CNN

https://github.com/devsoft123/fast-cnn

Mask R-CNN

https://github.com/dvl-tum/motsynth-baselines

Mask R-CNN

https://github.com/elonashatri/pitch_mask_rcnn

Mask R-CNN

https://github.com/evaristr/py-faster_rcnn

Mask R-CNN

https://github.com/facebookresearch/detectron

Mask R-CNN

https://github.com/facebookresearch/detectron2

Mask R-CNN

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

Mask R-CNN

https://github.com/fdac18/ForensicImages

Mask R-CNN

https://github.com/frgfm/Holocron

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

https://github.com/fsafe/Capstone

Mask R-CNN

https://github.com/gallegi/T4E_MICCAI_BrainTumor

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

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

Mask R-CNN

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

Mask R-CNN

https://github.com/hamidriasat/BASNet

Boundary-Aware Segmentation Network for Mobile and Web Applications

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/infini8-13/MaskRCNN_tryout

Mask R-CNN

https://github.com/itsasimiqbal/SeBRe

Mask R-CNN

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

Mask R-CNN

https://github.com/jesperhauch/polynomial_deep_learning

Augmenting Deep Classifiers with Polynomial Neural Networks

https://github.com/jhihan/rsna_pneumonia_detection

Mask R-CNN

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

Mask R-CNN

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

Mask R-CNN

https://github.com/jiean001/models_m/tree/main/EGnet

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

Mask R-CNN

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