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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 6170 of 145 papers

TitleStatusHype
CSRNet: Cascaded Selective Resolution Network for Real-time Semantic Segmentation0
Feature Reuse and Fusion for Real-time Semantic segmentationCode0
Rethinking BiSeNet For Real-time Semantic SegmentationCode1
NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and ColonoscopyCode1
A De-raining semantic segmentation network for real-time foreground segmentationCode1
Lite-HRNet: A Lightweight High-Resolution NetworkCode1
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data0
MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation0
CFPNet: Channel-wise Feature Pyramid for Real-Time Semantic SegmentationCode1
Perception Framework through Real-Time Semantic Segmentation and Scene Recognition on a Wearable System for the Visually Impaired0
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