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Real-Time Semantic Segmentation

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 )

Papers

Showing 101110 of 145 papers

TitleStatusHype
RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingCode0
Feature Pyramid Encoding Network for Real-time Semantic Segmentation0
Graph-guided Architecture Search for Real-time Semantic SegmentationCode0
HarDNet: A Low Memory Traffic NetworkCode1
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
DABNet: Depth-wise Asymmetric Bottleneck for Real-time Semantic SegmentationCode0
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation0
DiCENet: Dimension-wise Convolutions for Efficient NetworksCode0
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving ImagesCode0
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic SegmentationCode0
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