Papers with Code 아카이브
Object Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 1
- 보존된 평가 기록
- 2
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/SonginCV/GMPHD_SAF
https://github.com/SonginCV/MAF_HDA
https://github.com/StamatisKourkoutas/Brain_Tumor_Segmentation_US_Images
F3Net: Fusion, Feedback and Focus for Salient Object Detection
https://github.com/StephenEkaputra/Mask_RCNN-TinyPascalVOC
https://github.com/TejasBajania/Mtech_pro
https://github.com/TejasBajania/Mtech_thesis_project
https://github.com/TheUser0815/unetpp-pytorch
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/Thehunk1206/PRANet-Polyps-Segmentation
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
https://github.com/Tu-kun/cultivated_landdivision
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/TuSimple/mx-maskrcnn
https://github.com/UPCLJ/py-faster-rcnn
https://github.com/ZQPei/deep_sort_pytorch
https://github.com/alexalm4190/Mask_RCNN-Vizzy_Hand
https://github.com/alexander-pv/maskrcnn_tf2
https://github.com/alililia/ascend_maskrcnn_mobilenetv1
https://github.com/alililia/gpu_maskrcnn_mobilenetv1
https://github.com/amirfaraji/LowDoseCTPytorch
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/aqbewtra/Multi-Class-Aerial-Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/asyrovprog/cs230project
https://github.com/ayoolaolafenwa/PixelLib
https://github.com/baodi23/hourglass-facekeypoints-detection
https://github.com/beassssry/U
https://github.com/bethgelab/siamese-mask-rcnn
https://github.com/bigmb/Unet-Segmentation-Pytorch-Nest-of-Unets
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/boom85423/Cartoon-style-Stickers-Generator
https://github.com/bowu1004/instance_segmentation_RealSense
https://github.com/busyboxs/What-I-have-star
https://github.com/busyboxs/faster_rcnn_voc
https://github.com/casiopa/Madrid_Rooftops
https://github.com/charlesYangM/py-faster-rcnn-80.28
https://github.com/charlesshang/fastmaskrcnn
https://github.com/chenwuperth/ClaRAN
https://github.com/chihyanghsu0805/object_detection_yolo
https://github.com/chouxianyu/Boundary-Aware-PoolNet
https://github.com/chuanqichen/deepcoaching
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.