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Real-time semantic segmentation is the task of achieving computationally efficient semantic segmentation (while maintaining a base level of accuracy).

( Image credit: TorchSeg )

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Datasets

Greatest papers with code

Feature Pyramid Encoding Network for Real-time Semantic Segmentation

18 Sep 2019osmr/imgclsmob

Although current deep learning methods have achieved impressive results for semantic segmentation, they incur high computational costs and have a huge number of parameters.

PANOPTIC SEGMENTATION REAL-TIME SEMANTIC SEGMENTATION

HarDNet: A Low Memory Traffic Network

ICCV 2019 osmr/imgclsmob

We propose a Harmonic Densely Connected Network to achieve high efficiency in terms of both low MACs and memory traffic.

REAL-TIME OBJECT DETECTION REAL-TIME SEMANTIC SEGMENTATION

DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation

26 Jul 2019osmr/imgclsmob

As a pixel-level prediction task, semantic segmentation needs large computational cost with enormous parameters to obtain high performance.

REAL-TIME SEMANTIC SEGMENTATION

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

24 Jun 2019osmr/imgclsmob

The whole network has nearly symmetric architecture, which is mainly composed of a series of factorized convolution unit (FCU) and its parallel counterparts (PFCU).

REAL-TIME SEMANTIC SEGMENTATION

DiCENet: Dimension-wise Convolutions for Efficient Networks

8 Jun 2019osmr/imgclsmob

When DiCE units are stacked to build the DiCENet model, we observe significant improvements over state-of-the-art models across various computer vision tasks including image classification, object detection, and semantic segmentation.

4 IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH REAL-TIME OBJECT DETECTION REAL-TIME SEMANTIC SEGMENTATION

Fast-SCNN: Fast Semantic Segmentation Network

12 Feb 2019osmr/imgclsmob

The encoder-decoder framework is state-of-the-art for offline semantic image segmentation.

REAL-TIME SEMANTIC SEGMENTATION