Browse > Computer Vision > Semantic Segmentation > Scene Segmentation

Scene Segmentation

15 papers with code · 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 with code

Point-Voxel CNN for Efficient 3D Deep Learning

NeurIPS 2019 mit-han-lab/pvcnn

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

135
08 Jul 2019

Seamless Scene Segmentation

CVPR 2019 mapillary/seamseg

In this work we introduce a novel, CNN-based architecture that can be trained end-to-end to deliver seamless scene segmentation results.

PANOPTIC SEGMENTATION SCENE SEGMENTATION

178
03 May 2019

Dual Attention Network for Scene Segmentation

CVPR 2019 junfu1115/DANet

Specifically, we append two types of attention modules on top of traditional dilated FCN, which model the semantic interdependencies in spatial and channel dimensions respectively.

SCENE SEGMENTATION

1,279
09 Sep 2018

3DMV: Joint 3D-Multi-View Prediction for 3D Semantic Scene Segmentation

ECCV 2018 angeladai/3DMV

We present 3DMV, a novel method for 3D semantic scene segmentation of RGB-D scans in indoor environments using a joint 3D-multi-view prediction network.

SCENE SEGMENTATION

131
28 Mar 2018

Panoptic Segmentation

CVPR 2019 cocodataset/panopticapi

We propose and study a task we name panoptic segmentation (PS).

#3 best model for Panoptic Segmentation on Cityscapes val (using extra training data)

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION SCENE PARSING SCENE SEGMENTATION

171
03 Jan 2018

SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

CVPR 2018 laughtervv/SGPN

Experimental results on various 3D scenes show the effectiveness of our method on 3D instance segmentation, and we also evaluate the capability of SGPN to improve 3D object detection and semantic segmentation results.

3D INSTANCE SEGMENTATION 3D OBJECT DETECTION 3D SEMANTIC INSTANCE SEGMENTATION SCENE SEGMENTATION

187
23 Nov 2017

Efficient Yet Deep Convolutional Neural Networks for Semantic Segmentation

26 Jul 2017SharifAmit/DilatedFCNSegmentation

With the introduction of Fully Convolutional Neural Network, which uses finer strides and utilizes deconvolutional layers for upsampling, it has been a go to for any image segmentation task.

SCENE SEGMENTATION

26
26 Jul 2017

A Design Methodology for Efficient Implementation of Deconvolutional Neural Networks on an FPGA

7 May 2017chl218/DCNN-on-FPGA

In support of such applications, various FPGA accelerator architectures have been proposed for convolutional neural networks (CNNs) that enable high performance for classification tasks at lower power than CPU and GPU processors.

IMAGE CLASSIFICATION IMAGE DENOISING SCENE SEGMENTATION SPEECH RECOGNITION SUPER-RESOLUTION

2
07 May 2017

End-to-end Learning of Driving Models from Large-scale Video Datasets

CVPR 2017 gy20073/BDD_Driving_Model

Robust perception-action models should be learned from training data with diverse visual appearances and realistic behaviors, yet current approaches to deep visuomotor policy learning have been generally limited to in-situ models learned from a single vehicle or a simulation environment.

SCENE SEGMENTATION

190
04 Dec 2016