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Scene Labeling

1 papers with code ยท Computer Vision
Subtask of Scene Parsing

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Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

ICCV 2019

To incorporate point features in the edge branch, we establish a hierarchical graph framework, where the graph is initialized from a coarse layer and gradually enriched along the point decoding process.

SCENE LABELING SEMANTIC SEGMENTATION

Hierarchical Point-Edge Interaction Network for Point Cloud Semantic Segmentation

ICCV 2019

To incorporate point features in the edge branch, we establish a hierarchical graph framework, where the graph is initialized from a coarse layer and gradually enriched along the point decoding process.

SCENE LABELING SEMANTIC SEGMENTATION

End-to-End 3D-PointCloud Semantic Segmentation for Autonomous Driving

26 Jun 2019

Imbalanced distribution of classes in the dataset is one of the challenges that face 3D semantic scene labeling task.

AUTONOMOUS DRIVING SCENE LABELING TRANSFER LEARNING

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

CVPR 2019

RGB images differentiate from depth as they carry more details about the color and texture information, which can be utilized as a vital complement to depth for boosting the performance of 3D semantic scene completion (SSC).

SCENE LABELING

A Joint Convolutional Neural Networks and Context Transfer for Street Scenes Labeling

5 May 2019

Our contributions are threefold: (1) A priori s-CNNs model that learns priori location information at superpixel level is proposed to describe various objects discriminatingly; (2) A hierarchical data augmentation method is presented to alleviate dataset bias in the priori s-CNNs training stage, which improves foreground objects labeling significantly; (3) A soft restricted MRF energy function is defined to improve the priori s-CNNs model's labeling performance and reduce the over smoothness at the same time.

AUTONOMOUS DRIVING DATA AUGMENTATION SCENE LABELING SCENE UNDERSTANDING

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

CVPR 2019

RGB images differentiate from depth images as they carry more details about the color and texture information, which can be utilized as a vital complementary to depth for boosting the performance of 3D semantic scene completion (SSC).

SCENE LABELING

Scene Parsing via Dense Recurrent Neural Networks with Attentional Selection

9 Nov 2018

Recurrent neural networks (RNNs) have shown the ability to improve scene parsing through capturing long-range dependencies among image units.

SCENE LABELING

Multimodal Recurrent Neural Networks with Information Transfer Layers for Indoor Scene Labeling

13 Mar 2018

This paper proposes a new method called Multimodal RNNs for RGB-D scene semantic segmentation.

SCENE LABELING SEMANTIC SEGMENTATION

Dense Recurrent Neural Networks for Scene Labeling

21 Jan 2018

Recently recurrent neural networks (RNNs) have demonstrated the ability to improve scene labeling through capturing long-range dependencies among image units.

SCENE LABELING