「CV」 物体分割资源汇总

1 综述

1. A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images
   2019-12-21 paper

2. Evolution of Image Segmentation using Deep Convolutional Neural Network: A Survey
   2020-01-13 paper

2 理论

1. Learning Fully Dense Neural Networks for Image Semantic Segmentation
   2019-05-22 paper

2. Segmentation-Aware Image Denoising without Knowing True Segmentation
   2019-05-22 paper

3. Spatial Sampling Network for Fast Scene Understanding
   CVPR 2019 (Autonomous Driving) 2019-05-22 paper

4. End-to-End Learned Random Walker for Seeded Image Segmentation
   2019-05-22 paper

5. WPU-Net:Boundary learning by using weighted propagation in convolution network
   2019-05-22 paper

3 传统方法

4 轮廓提取

1. Semantic Contours from Inverse Detectors
   ICCV 2011 2011 paper

5 神经网络

5.1 CNN

1. ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation
   ICIP 2019 2019-05-24 paper | pytorch

2. SegSort: Segmentation by Discriminative Sorting of Segments
   ICCV 2019 2019-10-15 paper | project | tensorflow-official
   SegSort: 大津阈值的思路；跨图像训练；

3. Video Panoptic Segmentation
   CVPR 2020 oral 2020-06-19 paper | PyTorch
   名字取的很迷，哪里体现了全景了；
   主要是针对视频类数据，对图像做分割；论文一大亮点是融合了多任务（跟踪、检测、分割）
   数据集：VIPER、Cityscapes-VPS（都是自动驾驶领域的） VPSNet

4. Deep Active Learning for Joint Classification & Segmentation with Weak Annotator
   2020-10-10 paper
   分割分类多人物；

5.2 GAN

1. Adversarial Deep Structural Networks for Mammographic Mass Segmentation
   2016-11-18 paper | matlab-official

2. Semantic Segmentation using Adversarial Networks
   2016-11-25 paper

6 生物医疗

7 应用

7.1 自然

盐体分割、天空分割、火灾区域分割

7.2 人体

7.3 交通

车辆、交通标志

7.4 高光谱

hyperspectral image

1. Statistical Loss and Analysis for Deep Learning in Hyperspectral Image Classification
   2019-12-28 paper
   针对高光谱图像分割设计了新的统计 loss；

7.5 服饰

1. Segmentation task for fashion and apparel
   2020-06-14 paper

8 基于视频

1. RVOS: End-to-End Recurrent Network for Video Object Segmentation
   CVPR 2019 (camera ready) 2019-03-13 paper | project | pytorch-official

2. OVSNet : Towards One-Pass Real-Time Video Object Segmentation
   2019-05-24 paper

9 三维

9.1 基于点云

1. RIU-Net: Embarrassingly simple semantic segmentation of 3D LiDAR point cloud
   2019-05-21 paper

9.2 基于体素

1. Learning to Reconstruct High-quality 3D Shapes with Cascaded Fully Convolutional Networks
   ECCV 2018 Paper
   3D FCN

9.3 深度图

1. RFBNet: Deep Multimodal Networks with Residual Fusion Blocks for RGB-D Semantic Segmentation
   2019-06-29 paper

10 全景分割

1. Fast Panoptic Segmentation Network
   2019-10-09 paper

2. Panoptic-DeepLab
   2019-10-10 paper

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TOP

附录

A 数据集

1. ADE20K

B 参考资料

1. tangzhenyu. SemanticSegmentation_DL[EB/OL]. https://github.com/tangzhenyu/SemanticSegmentation_DL. -/2019-05-05.
2. 阿里巴巴文娱算法挑战赛 - 基于深度学习技术的视频分割
3. 阿里巴巴文娱算法挑战赛 - 高精度视频人物分割赛道赛题详解