...Yin Hu; Xianping Ma; Jialu Sui; Man-On Pun Semantic segmentation is a vital task in the field of remote sensing (RS). However, conventional convolutional neural network (CNN) and transformer-based models face limitations in capturing longrange dependencies or are often computationally intensive...

...Chia-Yi Lin; Jun-Cheng Chen; Ja-Ling Wu In this work, we propose a lightweight approach to enhance realtime semantic segmentation by leveraging the pre-trained vision-language models, specifically utilizing the text encoder of Contrastive Language-Image Pretraining (CLIP) to generate rich semantic...

...Hiroki Ito; MaungMaung AprilPyone; Sayaka Shiota; Hitoshi Kiya In this paper, we propose an access control method with a secret key for semantic segmentation models for the first time so that unauthorized users without a secret key cannot benefit from the performance of trained models. The method...

... the original work is properly cited Semantic segmentation Real-time CNN segmentation CNN architecture Road scene segmentation With the fast development of automated driving systems, a stable and reliable surrounding scene analysis becomes essential for a safe driving environment. ¹...