IEEE

Cross-Domain Incremental Image Classification via Domain-Specific Prototypes and Contrastive Learning

Abstract: Remote sensing models in incremental learning (IL) scenarios often need to contend with both the newly emerged classes and cross-domain feature shifts, a combined challenge that we name it ...
InfoQ

How Grab Optimizes Image Caching on Android with Time-Aware LRU

To improve image cache management in their Android app, Grab engineers transitioned from a Least Recently Used (LRU) cache to a Time-Aware Least Recently Used (TLRU) cache, enabling them to reclaim ...
WUFT

A college student's perspective on using AI in class

[Maximilian Milovidov is a freshman at Columbia University and a member of TikTok's Youth Council. He used a large language model to edit this essay for length and a human to edit for content. This ...
Microsoft

Computer-using agents now deliver more secure UI automation at scale

See how new updates to computer‑using agents improve UI automation with secure credentials, detailed monitoring, and scalable Cloud PC capacity. When we first introduced computer-using agents (CUAs) ...
IEEE

Combine Meta-Learning With Feature Alignment for Cross-Domain Heterogeneous Hyperspectral Image Classification

Abstract: The scarcity of labeled samples results in the challenge of small sample size in hyperspectral image (HSI) classification. Transfer learning offers hope for solving this problem. In ...