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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 4150 of 145 papers

TitleStatusHype
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving ImagesCode1
Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep LearningCode1
Real-time Semantic Segmentation via Spatial-detail Guided Context PropagationCode1
HarDNet: A Low Memory Traffic NetworkCode1
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic SegmentationCode1
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and ColonoscopyCode1
Pyramid Scene Parsing NetworkCode1
Rethinking BiSeNet For Real-time Semantic SegmentationCode1
S^2-FPN: Scale-ware Strip Attention Guided Feature Pyramid Network for Real-time Semantic SegmentationCode1
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