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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
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural NetworkCode0
ICNet for Real-Time Semantic Segmentation on High-Resolution ImagesCode0
FasterSeg: Searching for Faster Real-time Semantic SegmentationCode0
Design of Real-time Semantic Segmentation Decoder for Automated Driving—0
Boundary Corrected Multi-scale Fusion Network for Real-time Semantic Segmentation—0
DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation—0
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation—0
Efficient Road Lane Marking Detection with Deep Learning—0
Efficient Semantic Segmentation using Gradual Grouping—0
Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network—0
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