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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 61–70 of 145 papers

TitleStatusHype
P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic SegmentationCode0
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing—0
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentationCode0
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search—0
Efficient Semantic Segmentation on Edge Devices—0
Uncertainty in Real-Time Semantic Segmentation on Embedded SystemsCode0
DWRSeg: Rethinking Efficient Acquisition of Multi-scale Contextual Information for Real-time Semantic Segmentation—0
Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse WeatherCode0
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