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

Showing 1120 of 145 papers

TitleStatusHype
Real Time Semantic Segmentation of High Resolution Automotive LiDAR ScansCode1
CSFNet: A Cosine Similarity Fusion Network for Real-Time RGB-X Semantic Segmentation of Driving ScenesCode1
Reparameterizable Dual-Resolution Network for Real-time Semantic SegmentationCode1
SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera ImagesCode1
Mobile-Seed: Joint Semantic Segmentation and Boundary Detection for Mobile RobotsCode1
Bilateral Network with Residual U-blocks and Dual-Guided Attention for Real-time Semantic SegmentationCode1
AsymFormer: Asymmetrical Cross-Modal Representation Learning for Mobile Platform Real-Time RGB-D Semantic SegmentationCode1
Spatial-Assistant Encoder-Decoder Network for Real Time Semantic SegmentationCode1
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
Show:102550
← PrevPage 2 of 15Next →

No leaderboard results yet.