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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 7180 of 145 papers

TitleStatusHype
Real Time Egocentric Object Segmentation: THU-READ Labeling and Benchmarking Results0
A-Eye: Driving with the Eyes of AI for Corner Case Generation0
Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality0
Real-time Semantic Segmentation with Context Aggregation Network0
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing0
ContextFormer: Redefining Efficiency in Semantic Segmentation0
Cross-CBAM: A Lightweight network for Scene Segmentation0
Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation0
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs0
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