SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–110 of 145 papers

TitleStatusHype
Efficient Video Semantic Segmentation with Labels Propagation and Refinement—0
Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml—0
Entropy-Based Feature Extraction For Real-Time Semantic Segmentation—0
ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation—0
FarSee-Net: Real-Time Semantic Segmentation by Efficient Multi-scale Context Aggregation and Feature Space Super-resolution—0
Efficient Semantic Segmentation on Edge Devices—0
Real-Time Semantic Segmentation via Auto Depth, Downsampling Joint Decision and Feature Aggregation—0
Feature Pyramid Encoding Network for Real-time Semantic Segmentation—0
Guided Upsampling Network for Real-Time Semantic Segmentation—0
Real-Time Semantic Segmentation via Multiply Spatial Fusion Network—0
Show:102550
← PrevPage 11 of 15Next →

No leaderboard results yet.