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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 141145 of 145 papers

TitleStatusHype
ENet: A Deep Neural Network Architecture for Real-Time Semantic SegmentationCode1
Fully Convolutional Networks for Semantic SegmentationCode0
Multi-Scale Context Aggregation by Dilated ConvolutionsCode0
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image SegmentationCode1
Conditional Random Fields as Recurrent Neural NetworksCode0
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