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Methods/SegFormer

SegFormer

Computer VisionIntroduced 200047 papers

Description

SegFormer is a Transformer-based framework for semantic segmentation that unifies Transformers with lightweight multilayer perceptron (MLP) decoders. SegFormer has two appealing features: 1) SegFormer comprises a novel hierarchically structured Transformer encoder which outputs multiscale features. It does not need positional encoding, thereby avoiding the interpolation of positional codes which leads to decreased performance when the testing resolution differs from training. 2) SegFormer avoids complex decoders. The proposed MLP decoder aggregates information from different layers, and thus combining both local attention and global attention to render powerful representations.

Papers Using This Method

From Pixels to Damage Severity: Estimating Earthquake Impacts Using Semantic Segmentation of Social Media Images2025-07-03 Leveraging Modified Ex Situ Tomography Data for Segmentation of In Situ Synchrotron X-Ray Computed Tomography2025-04-27 SAR Object Detection with Self-Supervised Pretraining and Curriculum-Aware Sampling2025-04-17 Improving underwater semantic segmentation with underwater image quality attention and muti-scale aggregation attention2025-03-30 Comprehensive Evaluation of OCT-based Automated Segmentation of Retinal Layer, Fluid and Hyper-Reflective Foci: Impact on Diabetic Retinopathy Severity Assessment2025-03-03 Cross-Model Transferability of Adversarial Patches in Real-time Segmentation for Autonomous Driving2025-02-22 Global Average Feature Augmentation for Robust Semantic Segmentation with Transformers2024-12-02 SynDiff-AD: Improving Semantic Segmentation and End-to-End Autonomous Driving with Synthetic Data from Latent Diffusion Models2024-11-25 Habaek: High-performance water segmentation through dataset expansion and inductive bias optimization2024-10-21 Risk Assessment for Autonomous Landing in Urban Environments using Semantic Segmentation2024-10-16 Adapting Segment Anything Model to Melanoma Segmentation in Microscopy Slide Images2024-10-03 Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images using SegFormer2024-10-01 AMBER -- Advanced SegFormer for Multi-Band Image Segmentation: an application to Hyperspectral Imaging2024-09-14 SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes2024-08-02 MagicBathyNet: A Multimodal Remote Sensing Dataset for Bathymetry Prediction and Pixel-based Classification in Shallow Waters2024-05-24 Segformer++: Efficient Token-Merging Strategies for High-Resolution Semantic Segmentation2024-05-23 wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T2024-02-20 Kitchen Food Waste Image Segmentation and Classification for Compost Nutrients Estimation2024-01-26 CaBuAr: California Burned Areas dataset for delineation2024-01-21 U-MixFormer: UNet-like Transformer with Mix-Attention for Efficient Semantic Segmentation2023-12-11