IEEE

CLIP2RS: Leveraging Pretrained Vision-Language Model for Semantic Segmentation of Remote Sensing Images

Abstract: Semantic segmentation of remote sensing (RS) images is a very challenging task due to the complicated characteristics such as diversity, complexity, and massiveness. Current research ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

Bridge: Leveraging Vision Foundation Models for Efficient Cross-Domain Remote Sensing Segmentation

Abstract: Adapting large-scale Vision Foundation Models (VFMs), pretrained on natural images (NI), to remote sensing (RS) downstream tasks such as Domain Adaptation Semantic Segmentation (DASS) though ...
GitHub

GSoC_2026

You are allowed to use the AI coding tool of your choice. You must submit the result as pull requests and must be able to answer and fix issues that the pull master requests. You are expected to ...
Seeking Alpha

National Vision outlines $2.03B–$2.09B 2026 revenue target while expanding premium offerings and store segmentation

For fiscal 2026, National Vision expects net revenue between $2.03 billion and $2.09 billion, supported by adjusted comparable store sales growth of 3% to 6%. Adjusted operating income is projected ...
GitHub

[CVPR2026] Generalizable Knowledge Distillation from Vision Foundation Models for Semantic Segmentation

Motivation: Conventional knowledge distillation approaches primarily preserve in-domain accuracy while neglecting out-of-domain generalization, which is essential under distribution shifts. This ...