Real-Time Semantic Segmentation

64 papers with code • 5 benchmarks • 10 datasets

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

( Image credit: TorchSeg )


Use these libraries to find Real-Time Semantic Segmentation models and implementations
16 papers
13 papers
4 papers
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Most implemented papers

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

PaddlePaddle/PaddleSeg 2 Nov 2015

We show that SegNet provides good performance with competitive inference time and more efficient inference memory-wise as compared to other architectures.

Pyramid Scene Parsing Network

hszhao/PSPNet CVPR 2017

Scene parsing is challenging for unrestricted open vocabulary and diverse scenes.

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

PaddlePaddle/PaddleSeg 7 Jun 2016

The ability to perform pixel-wise semantic segmentation in real-time is of paramount importance in mobile applications.

Fully Convolutional Networks for Semantic Segmentation

pytorch/vision CVPR 2015

Convolutional networks are powerful visual models that yield hierarchies of features.

Fast-SCNN: Fast Semantic Segmentation Network

PaddlePaddle/PaddleSeg 12 Feb 2019

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

HarDNet: A Low Memory Traffic Network

PingoLH/Pytorch-HarDNet ICCV 2019

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

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

deeplab/deeplab-public 22 Dec 2014

This is due to the very invariance properties that make DCNNs good for high level tasks.

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

PaddlePaddle/PaddleSeg ECCV 2018

Semantic segmentation requires both rich spatial information and sizeable receptive field.

SOLOv2: Dynamic and Fast Instance Segmentation

WXinlong/SOLO NeurIPS 2020

Importantly, we take one step further by dynamically learning the mask head of the object segmenter such that the mask head is conditioned on the location.

ICNet for Real-Time Semantic Segmentation on High-Resolution Images

hszhao/ICNet ECCV 2018

We focus on the challenging task of real-time semantic segmentation in this paper.