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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 4150 of 145 papers

TitleStatusHype
Real-time Semantic Segmentation with Fast AttentionCode1
Real-time Semantic Segmentation via Spatial-detail Guided Context PropagationCode1
Temporally Distributed Networks for Fast Video Semantic SegmentationCode1
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic SegmentationCode1
Semantic Flow for Fast and Accurate Scene ParsingCode1
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving ImagesCode1
HarDNet: A Low Memory Traffic NetworkCode1
Template-Based Automatic Search of Compact Semantic Segmentation ArchitecturesCode1
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving ImagesCode1
BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationCode1
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