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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 71–80 of 145 papers

TitleStatusHype
MFNet: Multi-Feature Fusion Network for Real-Time Semantic Segmentation in Road ScenesCode0
RTFormer: Efficient Design for Real-Time Semantic Segmentation with TransformerCode0
TriangleNet: Edge Prior Augmented Network for Semantic Segmentation through Cross-Task ConsistencyCode0
Deep Learning on Home Drone: Searching for the Optimal ArchitectureCode0
Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation—0
Efficient Joint-Dimensional Search with Solution Space Regularization for Real-Time Semantic Segmentation—0
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation—0
On Efficient Real-Time Semantic Segmentation: A Survey—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
PP-LiteSeg: A Superior Real-Time Semantic Segmentation ModelCode0
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