Real-Time Semantic Segmentation

92 papers with code • 8 benchmarks • 12 datasets

Semantic Segmentation is a computer vision task that involves assigning a semantic label to each pixel in an image. In Real-Time Semantic Segmentation, the goal is to perform this labeling quickly and accurately in real-time, allowing for the segmentation results to be used for tasks such as object recognition, scene understanding, and autonomous navigation.

( Image credit: TorchSeg )


Use these libraries to find Real-Time Semantic Segmentation models and implementations
16 papers
14 papers
4 papers
See all 10 libraries.

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.

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.

Lite-HRNet: A Lightweight High-Resolution Network

HRNet/Lite-HRNet CVPR 2021

We introduce a lightweight unit, conditional channel weighting, to replace costly pointwise (1x1) convolutions in shuffle blocks.