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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 41–50 of 145 papers

TitleStatusHype
A Real-time Fire Segmentation Method Based on A Deep Learning ApproachCode1
Pyramid Scene Parsing NetworkCode1
Real-time Semantic Segmentation via Spatial-detail Guided Context PropagationCode1
Real Time Semantic Segmentation of High Resolution Automotive LiDAR ScansCode1
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
Real-time Semantic Segmentation with Fast AttentionCode1
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile RobotsCode1
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous DrivingCode1
Rethinking BiSeNet For Real-time Semantic SegmentationCode1
S^2-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic SegmentationCode1
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