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 21–30 of 145 papers

TitleStatusHype
Spatial-Assistant Encoder-Decoder Network for Real Time Semantic SegmentationCode1
Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing—0
On the Real-Time Semantic Segmentation of Aphid Clusters in the Wild—0
Cross-CBAM: A Lightweight network for Scene Segmentation—0
JetSeg: Efficient Real-Time Semantic Segmentation Model for Low-Power GPU-Embedded SystemsCode1
Real-Time Semantic Segmentation using Hyperspectral Images for Mapping Unstructured and Unknown EnvironmentsCode1
COVERED, CollabOratiVE Robot Environment Dataset for 3D Semantic segmentationCode0
Lightweight Real-time Semantic Segmentation Network with Efficient Transformer and CNNCode1
Local-to-Global Information Communication for Real-Time Semantic Segmentation Network Search—0
Efficient Semantic Segmentation on Edge Devices—0
Show:102550
← PrevPage 3 of 15Next →

No leaderboard results yet.