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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 101110 of 145 papers

TitleStatusHype
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation0
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution0
Using CNNs For Users Segmentation In Video See-Through Augmented Virtuality0
Efficient Video Semantic Segmentation with Labels Propagation and Refinement0
FasterSeg: Searching for Faster Real-time Semantic SegmentationCode0
LiteSeg: A Novel Lightweight ConvNet for Semantic SegmentationCode0
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network0
RITnet: Real-time Semantic Segmentation of the Eye for Gaze TrackingCode0
Feature Pyramid Encoding Network for Real-time Semantic Segmentation0
Graph-guided Architecture Search for Real-time Semantic SegmentationCode0
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