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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 110 of 145 papers

TitleStatusHype
Real Time Semantic Segmentation of High Resolution Automotive LiDAR ScansCode1
Real-Time Semantic Segmentation of Aerial Images Using an Embedded U-Net: A Comparison of CPU, GPU, and FPGA Workflows0
Golden Cudgel Network for Real-Time Semantic SegmentationCode2
ContextFormer: Redefining Efficiency in Semantic Segmentation0
Efficient Semantic Segmentation via Lightweight Multiple-Information Interaction Network0
ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation0
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
Reparameterizable Dual-Resolution Network for Real-time Semantic SegmentationCode1
PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing ImageryCode5
DSNet: A Novel Way to Use Atrous Convolutions in Semantic SegmentationCode2
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