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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
Light-Weight RefineNet for Real-Time Semantic SegmentationCode0
Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic SegmentationCode0
Efficient Dense Modules of Asymmetric Convolution for Real-Time Semantic SegmentationCode0
Real-Time Joint Semantic Segmentation and Depth Estimation Using Asymmetric AnnotationsCode0
Efficient Road Lane Marking Detection with Deep Learning0
BiSeNet: Bilateral Segmentation Network for Real-time Semantic SegmentationCode1
Guided Upsampling Network for Real-Time Semantic Segmentation0
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
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