Browse > Computer Vision > Semantic Segmentation > Scene Segmentation

Scene Segmentation

23 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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Greatest papers with code

Index Network

11 Aug 2019poppinace/indexnet_matting

By viewing the indices as a function of the feature map, we introduce the concept of "learning to index", and present a novel index-guided encoder-decoder framework where indices are self-learned adaptively from data and are used to guide the downsampling and upsampling stages, without extra training supervision.

GRAYSCALE IMAGE DENOISING IMAGE DENOISING IMAGE MATTING MONOCULAR DEPTH ESTIMATION SCENE SEGMENTATION

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

Context Prior for Scene Segmentation

3 Apr 2020ycszen/ContextPrior

Given an input image and corresponding ground truth, Affinity Loss constructs an ideal affinity map to supervise the learning of Context Prior.

SCENE SEGMENTATION SCENE UNDERSTANDING

Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks

11 Mar 2020shachoi/HANet

This paper exploits the intrinsic features of urban-scene images and proposes a general add-on module, called height-driven attention networks (HANet), for improving semantic segmentation for urban-scene images.

#8 best model for Semantic Segmentation on Cityscapes test (using extra training data)

SCENE SEGMENTATION

FPConv: Learning Local Flattening for Point Convolution

25 Feb 2020lyqun/FPConv

We introduce FPConv, a novel surface-style convolution operator designed for 3D point cloud analysis.

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION SCENE SEGMENTATION

Relation-Aware Global Attention for Person Re-identification

5 Apr 2019microsoft/Relation-Aware-Global-Attention-Networks

For person re-identification (re-id), attention mechanisms have become attractive as they aim at strengthening discriminative features and suppressing irrelevant ones, which matches well the key of re-id, i. e., discriminative feature learning.

IMAGE CLASSIFICATION PERSON RE-IDENTIFICATION SCENE SEGMENTATION

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

DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes

2 Apr 2020VisualComputingInstitute/dcm-net

That is, the convolutional kernel weights are mapped to the local surface of a given mesh.

3D SEMANTIC SEGMENTATION SCENE SEGMENTATION

Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation

13 Mar 2020jzhzhang/FusionAwareConv

Online semantic 3D segmentation in company with real-time RGB-D reconstruction poses special challenges such as how to perform 3D convolution directly over the progressively fused 3D geometric data, and how to smartly fuse information from frame to frame.

SCENE SEGMENTATION

Parsing Natural Scenes and Natural Language with Recursive Neural Networks

Proceedings of the 26th International Conference on Machine Learning (ICML) 2011 2011 yihui-he/Parsing-Natural-Scenes-and-Natural-Language-with-Recursive-Neural-Networks

Recursive structure is commonly found in the inputs of different modalities such as natural scene images or natural language sentences. Discovering this recursive structure helps us to not only identify the units that an image or sentence contains but also how they interact to form a whole.

SCENE CLASSIFICATION SCENE SEGMENTATION SCENE UNDERSTANDING