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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 3140 of 145 papers

TitleStatusHype
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and ColonoscopyCode1
In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving ImagesCode1
A De-raining semantic segmentation network for real-time foreground segmentationCode1
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded SystemsCode1
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic SegmentationCode1
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile RobotsCode1
A Real-time Fire Segmentation Method Based on A Deep Learning ApproachCode1
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationCode1
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