Image segmentation in 2020: Architectures, Losses, Datasets, and Frameworks - 代码天地

Image segmentation in 2020: Architectures, Losses, Datasets, and Frameworks

其他 2020-06-19 13:54:52 阅读次数: 0

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转载自www.cnblogs.com/guochen/p/13162509.html

Image segmentation in 2020: Architectures, Losses, Datasets, and Frameworks

Image Segmentation

Single Image Reflection Separation with Perceptual Losses

NASNet：Learning Transferable Architectures for Scalable Image Recognition

Image Segmentation 笔记合集

PointRend: Image Segmentation as Rendering

图像分割 Image Segmentation

Ensembles of Multiple Models and Architectures for Robust Brain Tumour Segmentation

Rethinking Image Aesthetics Assessment:Models,Datasets and Benchmarks

Contour Detection and Hierarchical Image Segmentation

Graph-based Image Segmentation

Convolutional Networks for Image Semantic Segmentation

frameworks

《Learning Transferable Architectures for Scalable Image Recognition》论文阅读笔记

【论文阅读】2020.CVPR.C2FNAS Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation

Datasets

CVPR 2020-Instance Segmentation

CVRP 2020-Semantic Segmentation

CVPR 2020-Panoptic Segmentation

DeepLab V3 —— Semantic Image Segmentation

Efficient Graph-Based Image Segmentation

SS（selective search） and Graph Based Image Segmentation

「Computer Vision」Note on Interactive Full Image Segmentation

「Medical Image Analysis」 Note on Pulmonary Artery Segmentation

「Medical Image Analysis」Note on Splenomegaly Segmentation Network

PAT T1013 Image Segmentation

《DeepLabv3 + for Semantic Image Segmentation》

Unet:Convolutional Networks for Biomedical Image Segmentation拜读

PointRend: Image Segmentation as Rendering论文翻译

MedSegDiff： Medical Image Segmentation with Diffusion Probabilistic Model

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