2D Semantic Segmentation

34 papers with code • 6 benchmarks • 47 datasets

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Most implemented papers

xBD: A Dataset for Assessing Building Damage from Satellite Imagery

DIUx-xView/xview2-baseline 21 Nov 2019

xBD is the largest building damage assessment dataset to date, containing 850, 736 building annotations across 45, 362 km\textsuperscript{2} of imagery.

Realtime Global Attention Network for Semantic Segmentation

dunknowcoding/RGANet 24 Dec 2021

In this paper, we proposed an end-to-end realtime global attention neural network (RGANet) for the challenging task of semantic segmentation.

Normalization in Training U-Net for 2D Biomedical Semantic Segmentation

XiaoYunZhou27/UNet-with-BN-GN-IN-LN 11 Sep 2018

In this paper, four normalization methods - BN, IN, LN and GN are compared in details, specifically for 2D biomedical semantic segmentation.

See and Think: Disentangling Semantic Scene Completion

ShiceLiu/SATNet NeurIPS 2018

Semantic scene completion predicts volumetric occupancy and object category of a 3D scene, which helps intelligent agents to understand and interact with the surroundings.

3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation

Shathe/3D-MiniNet 25 Feb 2020

Fast and efficient semantic segmentation methods are needed to match the strong computational and temporal restrictions of many of these real-world applications.

Building Disaster Damage Assessment in Satellite Imagery with Multi-Temporal Fusion

ethanweber/xview2 12 Apr 2020

Automatic change detection and disaster damage assessment are currently procedures requiring a huge amount of labor and manual work by satellite imagery analysts.

SofGAN: A Portrait Image Generator with Dynamic Styling

apchenstu/sofgan 7 Jul 2020

To address this issue, we propose a SofGAN image generator to decouple the latent space of portraits into two subspaces: a geometry space and a texture space.

Virtual Multi-view Fusion for 3D Semantic Segmentation

YanjieZe/Virtual-Multi-View-Fusion ECCV 2020

Features from multiple per view predictions are finally fused on 3D mesh vertices to predict mesh semantic segmentation labels.

Bidirectional Projection Network for Cross Dimension Scene Understanding

wbhu/BPNet CVPR 2021

Via the \emph{BPM}, complementary 2D and 3D information can interact with each other in multiple architectural levels, such that advantages in these two visual domains can be combined for better scene recognition.

Self-Improving Semantic Perception for Indoor Localisation

ethz-asl/background_foreground_segmentation 4 May 2021

We find memory replay an effective measure to reduce forgetting and show how the robotic system can improve even when switching between different environments.