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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 121130 of 145 papers

TitleStatusHype
A Comparative Study of High-Recall Real-Time Semantic Segmentation Based on Swift Factorized NetworkCode0
In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving ImagesCode0
Uncertainty in Real-Time Semantic Segmentation on Embedded SystemsCode0
LEDNet: A Lightweight Encoder-Decoder Network for Real-Time Semantic SegmentationCode0
Deep Learning on Home Drone: Searching for the Optimal ArchitectureCode0
Light-Weight RefineNet for Real-Time Semantic SegmentationCode0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationCode0
ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic SegmentationCode0
Fast-SCNN: Fast Semantic Segmentation NetworkCode0
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