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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

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Showing 91–100 of 145 papers

TitleStatusHype
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired—0
Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation—0
Multi Projection Fusion for Real-time Semantic Segmentation of 3D LiDAR Point Clouds—0
Real-time Semantic Segmentation with Context Aggregation Network—0
Dense Dual-Path Network for Real-time Semantic Segmentation—0
Real-Time Instrument Segmentation in Robotic Surgery using Auxiliary Supervised Deep Adversarial LearningCode0
Lookahead Adversarial Learning for Near Real-Time Semantic Segmentation—0
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation—0
Visual Localization Using Semantic Segmentation and Depth Prediction—0
Tamed Warping Network for High-Resolution Semantic Video Segmentation—0
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