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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 131140 of 145 papers

TitleStatusHype
PointSeg: Real-Time Semantic Segmentation Based on 3D LiDAR Point CloudCode0
Efficient Semantic Segmentation using Gradual Grouping0
ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic SegmentationCode0
ShuffleSeg: Real-time Semantic Segmentation NetworkCode0
RTSeg: Real-time Semantic Segmentation Comparative StudyCode0
MFNet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes0
ERFNet: Efficient Residual Factorized ConvNet for Real-time Semantic SegmentationCode0
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs0
BlitzNet: A Real-Time Deep Network for Scene UnderstandingCode0
Efficient ConvNet for Real-time Semantic SegmentationCode0
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