Browse > Computer Vision > Semantic Segmentation > Scene Segmentation

Scene Segmentation

15 papers with code ยท Computer Vision

Scene segmentation is the task of splitting a scene into its various object components.

Image adapted from Temporally coherent 4D reconstruction of complex dynamic scenes.

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Latest papers without code

2018 Robotic Scene Segmentation Challenge

30 Jan 2020

In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward kinematics and instrument CAD models.

SCENE SEGMENTATION

HR-SAR-Net: A Deep Neural Network for Urban Scene Segmentation from High-Resolution SAR Data

10 Dec 2019

Synthetic aperture radar (SAR) data is becoming increasingly available to a wide range of users through commercial service providers with resolutions reaching 0. 5m/px.

SCENE SEGMENTATION

Point-Voxel CNN for Efficient 3D Deep Learning

NeurIPS 2019

The computation cost and memory footprints of the voxel-based models grow cubically with the input resolution, making it memory-prohibitive to scale up the resolution.

3D OBJECT DETECTION SCENE SEGMENTATION

Differentiating Features for Scene Segmentation Based on Dedicated Attention Mechanisms

19 Nov 2019

In this paper, we differentiate features for scene segmentation based on dedicated attention mechanisms (DF-DAM), and two attention modules are proposed to optimize the high-level and low-level features in the encoder, respectively.

SCENE PARSING SCENE SEGMENTATION

ShellNet: Efficient Point Cloud Convolutional Neural Networks Using Concentric Shells Statistics

ICCV 2019

Deep learning with 3D data has progressed significantly since the introduction of convolutional neural networks that can handle point order ambiguity in point cloud data.

OBJECT CLASSIFICATION SCENE SEGMENTATION SCENE UNDERSTANDING

IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things

ICCV 2019

In addition, the Instance Mask Projection operator works well on other (non-clothing) datasets, providing an improvement in mIOU of 3 points on "thing" classes of Cityscapes, a self-driving dataset, over a state-of-the-art approach.

INSTANCE SEGMENTATION SCENE SEGMENTATION

Boundary-Aware Feature Propagation for Scene Segmentation

ICCV 2019

Furthermore, we propose a boundary-aware feature propagation (BFP) module to harvest and propagate the local features within their regions isolated by the learned boundaries in the UAG-structured image.

SCENE SEGMENTATION

Boundary-Aware Feature Propagation for Scene Segmentation

ICCV 2019

Furthermore, we propose a boundary-aware feature propagation (BFP) module to harvest and propagate the local features within their regions isolated by the learned boundaries in the UAG-structured image.

SCENE SEGMENTATION

An Image Fusion Scheme for Single-Shot High Dynamic Range Imaging with Spatially Varying Exposures

22 Aug 2019

This paper proposes a novel multi-exposure image fusion (MEF) scheme for single-shot high dynamic range imaging with spatially varying exposures (SVE).

SCENE SEGMENTATION

PS^2-Net: A Locally and Globally Aware Network for Point-Based Semantic Segmentation

15 Aug 2019

In this paper, we present the PS^2-Net -- a locally and globally aware deep learning framework for semantic segmentation on 3D scene-level point clouds.

SCENE SEGMENTATION