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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 76–100 of 145 papers

TitleStatusHype
ContextFormer: Redefining Efficiency in Semantic Segmentation—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows—0
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation—0
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs—0
Deep Multi-Branch Aggregation Network for Real-Time Semantic Segmentation in Street Scenes—0
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 on Edge Devices—0
Efficient Semantic Segmentation using Gradual Grouping—0
Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network—0
Efficient Video Semantic Segmentation with Labels Propagation and Refinement—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation—0
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation—0
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution—0
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation—0
Feature Pyramid Encoding Network for Real-time Semantic Segmentation—0
Guided Upsampling Network for Real-Time Semantic Segmentation—0
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network—0
Tamed Warping Network for High-Resolution Semantic Video Segmentation—0
AASeg: Attention Aware Network for Real Time Semantic Segmentation—0
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