[x] Semantic texton forests for image categorization and segmentation (CVPR2008)
[x] A Pylon Model for Semantic Segmentation (nips2011)
[x] Fully Convolutional Networks
[x] U-Net
[x] UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation[J]. IEEE Transactions on Medical Imaging, 2019.
[X] 3D Unet, V-Net (U-Net的3D 版本)
[x] DeepLab 系列
[ ] 1 Refinenet
[ ] 2 FRRN(Full resolution residual network)
[ ] 3 ERFNet
[] 1 FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture（2016ACCV
[] 2 RedNet: Residual Encoder-Decoder Network for indoor RGB-D Semantic Segmentation
[] 3 Semantic segmentation of RGBD images based on deep depth regression
[] 4 RGBD Semantic Segmentation Based on Global Convolutional Network
[] 5 Depth-aware CNN for RGB-D Segmentation
6 Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
1 PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
2 PointNet++
3 Deepset
4 ScanNet
5 Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation
6 SEGCloud: Semantic Segmentation of 3D Point Clouds
[x] Data-driven contextual modeling for 3d scene understanding
[x] Beyond point clouds: Scene understanding by reasoning geometry and physics.
[x] VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes
[x] End2End Semantic Segmentation for 3D Indoor Scenes
[x] Voxel-Based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods
[x] Volumetric Semantic Segmentation using Pyramid Context Features
[x] 5 ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans
[x] 3D scene understanding by voxel-CRF (ICCV2013)
[x] Joint 3D scene reconstruction and class segmentation (CVPR2013)
[x] Large-scale semantic 3d reconstruction: an adaptive multi-resolution model for multi-class volumetric labeling (CVPR2016)