Hugging Face Trending Papers

A Modern ConvNet for Solar Filament Detection

Read the original on Hugging Face Trending Papers →

Automated solar filament detection using deep learning faces several challenges. Semantic segmentation of solar filaments is a complicated multiscale feature extraction task with long-tail distribution.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at Hugging Face Trending Papers.

arXiv Computer Vision
Sep 11

Towards Automated Solar Panel Integrity: Hybrid Deep Feature Extraction for Advanced Surface Defect Identification

The paper proposes a hybrid approach for detecting surface defects on solar panels by combining handcrafted features—Local Binary Pattern, Histogram of Gradients, and Gabor Filters—with deep features extracted from DenseNet‑169. The concatenated feature set is classified using SVM, XGBoost, and LGBM, with the DenseNet‑169 + Gabor (SVM) configuration achieving the highest accuracy of 99.17% on an augmented dataset. This method aims to provide an automated, accurate, and flexible defect‑detection system for large‑scale, remote solar power plants.

By Muhammad Junaid Asif, Muhammad Saad Rafaqat, Usman Nazakat, Uzair Khan, Rana Fayyaz Ahmad
arXiv AI
Aug 20

OptiModNet: A UNet-Transformer Hybrid with Grouped-Query and Channel Attention for Optic Disc and Cup Segmentation

OptiModNet is a lightweight UNet‑Transformer hybrid designed for optic disc and cup segmentation. It incorporates grouped‑query and channel attention across multiple stages, along with an Aggregated Pyramid Loss to improve gradient flow and structural consistency. Evaluated on the REFUGE2 dataset, it surpasses existing methods by over 2.5 % while using only 3.73 GFLOPs and 1.93 M parameters.

By Soumili Ghosh, Debapriya Roy, Aryan Das, Bikash Santra
arXiv Computer Vision
Sep 15

Global-Local Contextual Progressive Expansion Network for Martian Landslide Segmentation in Multimodal Remote Sensing Imagery

arXiv:2609.13332v1 Announce Type: new Abstract: Automated landslide segmentation on Mars is one of the important tasks for understanding its surface processes, and all will aid in future space explor...

By Leo Thomas Ramos, Sidike Paheding, Abel A. Reyes-Angulo, Rajaneesh A., Sajinkumar K. S., Angel D. Sappa, Thomas Oommen