Abstract: Semantic segmentation of remote sensing images is crucial for disaster monitoring, urban planning, and land use. Due to scene complexity and multiscale features of targets, semantic ...

In recent studies, numerous previous works emphasize the importance of semantic segmentation of LiDAR data as a critical component to the development of driver-assistance systems and autonomous ...

Abstract: The purpose of this paper is to study of how machine learning algorithms, artificial intelligence, semantic segmentation and fine recognition can be used to enhance computer vision in order ...

Search engines have come a long way from relying on exact match keywords. Today, they try to understand the meaning behind content — what it says, how it says it, and whether it truly answers the ...

Underwater images segmentation is essential for tasks such as underwater exploration, marine environmental monitoring, and resource development. Nevertheless, given the complexity and variability of ...

It’s no longer groundbreaking to say that the SEO landscape is evolving. But this time, the shift is fundamental. We’re entering an era where search is no longer just about keywords but understanding.

This is an official implementation of the paper "Replay Without Saving: Prototype Derivation and Distribution Rebalance for Class-Incremental Semantic Segmentation", accepted by IEEE TPAMI. 📝 Paper ...