PointRend: Image Segmentation as Rendering

论文简介 会议:CVPR 2020 arXiv: 1912.08193 [PDF下载] 代码在 mmsegmentation 中有实现。 目前总引用数:225 Citations Kirillov, A., Wu, Y., He, K., & Girshick, R.B. (2020). PointRend: Image Segmentation As Rendering. 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 9796-9805. Abstract 该...

April 24, 2022 · 5 min · 2158 words

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

HyperSeg Nirkin, Y., Wolf, L., & Hassner, T. (2021). HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation. 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 4060-4069. 论文简介: CVPR 2021 https://arxiv.org/abs/2012.11582 💡亮点: 解码器中的 Meta block 模块,在模块中提出了 Dynamic Patch-wise Convolution(...

March 20, 2022 · 5 min · 2243 words

#DeepLab# 中的空洞卷积和条件随机场

#DeepLab# 中的空洞卷积和条件随机场 简要总结 DeepLab V1 和 DeepLab V2,DeepLab 是语义分割的经典网络架构。其有两个核心要点: (1)空洞卷积(Atrous Con...

June 20, 2021 · 9 min · 4205 words

Boundary loss for highly unbalanced segmentation

Boundary loss for highly unbalanced segmentation Csurka, G., Larlus, D., & Perronnin, F. (2013). What is a good evaluation measure for semantic segmentation? BMVC. (218 Citations.) Kervadec, H., Bouchtiba, J., Desrosiers, C., Granger, É., Dolz, J., & Ayed, I.B. (2019). Boundary loss for highly unbalanced segmentation. Medical image analysis, 67, 101851 . (95 Citations) 论文 PDF : https://openreview.net/pdf?id=S1gTA5VggE 或者(https:...

May 30, 2021 · 6 min · 2633 words

视网膜血管分割 Retinal vessel segmentation

视网膜血管分割 Retinal vessel segmentation 1. 数据集(Datasets) 视网膜血管分割的公开集最常用的有 DRIVE、STARE 和 CHASE_DB。 1.1 DRIVE DRIVE: Digital Retinal Images for Vessel Extraction...

May 16, 2021 · 5 min · 2390 words

图像预处理

数据预处理 import matplotlib.pyplot as plt import glob from PIL import Image import numpy as np import cv2 # 训练集图像 img_paths = glob.glob('./../data/vesselseg/DRIVE/training/images/*.tif') img_paths.sort() img_paths ['./../data/vesselseg/DRIVE/training/images/21_training.tif', './../data/vesselseg/DRIVE/training/images/22_training.tif', './../data/vesselseg/DRIVE/training/images/23_training.tif', './../data/vesselseg/DRIVE/training/images/24_training.tif', './../data/vesselseg/DRIVE/training/images/25_training.tif', './../data/vesselseg/DRIVE/training/images/26_training.tif', './../data/vesselseg/DRIVE/training/images/27_training.tif', './../data/vesselseg/DRIVE/training/images/28_training.tif', './../data/vesselseg/DRIVE/training/images/29_training.tif', './../data/vesselseg/DRIVE/training/images/30_training.tif', './../data/vesselseg/DRIVE/training/images/31_training.tif', './../data/vesselseg/DRIVE/training/images/32_training.tif', './../data/vesselseg/DRIVE/training/images/33_training.tif', './../data/vesselseg/DRIVE/training/images/34_training.tif', './../data/vesselseg/DRIVE/training/images/35_training.tif', './../data/vesselseg/DRIVE/training/images/36_training.tif', './../data/vesselseg/DRIVE/training/images/37_training.tif', './../data/vesselseg/DRIVE/training/images/38_training.tif', './../data/vesselseg/DRIVE/training/images/39_training.tif', './../data/vesselseg/DRIVE/training/images/40_training.tif'] 查看不同通道 # 读取其中一张图像 rgb_img = Image.open(img_paths[0])...

May 14, 2021 · 2 min · 845 words

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

FCN:Fully Convolutional Networks for Semantic Segmentation https://arxiv.org/abs/1411.4038 U-Net:U-Net: Convolutional Networks for Biomedical Image Segmentation https://arxiv.org/abs/1505.04597 SegNet:SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation https://arxiv.org/pdf/1511.00561.pdf 概览 论文所要解决的问题: encoder...

April 18, 2021 · 5 min · 2109 words

SegNet

SegNet http://mi.eng.cam.ac.uk/projects/segnet/ 时间:2015 年 Max Pooling 后特征图会变小,空间分辨率的下降对于边界的勾画是不利的,在文章的论述中,作者认为需要对这种边界信息进行存储保留,比如...

April 13, 2021 · 10 min · 4683 words

ResNeSt

arXiv: https://arxiv.org/abs/2004.08955 时间:2020 年 04 月 SENet(17.09)、SKNet(19.03) 和 ResNeSt(20.04) 可以放在一起进行阅读,这三篇都是注意...

March 25, 2021 · 4 min · 1643 words

Selective Kernel Network 解析

(SKNet)Selective Kernel Network 解析 Selective Kernel Network 是注意力机制的一篇经典文献。 其实我现在的论文阅读量不多,连基础的基干系列网络都还没看完,但是为...

March 15, 2021 · 11 min · 5311 words