LLM Digest

Story

arxiv_cs_lg · Jul 14, 2026 · paper

Source brief

Label-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification

arxiv.orgJul 14, 2026
original source linked

In brief

Multi-label classification assigns several co-occurring labels to each aerial scene, yet deployed models often encounter data distributions different from their training. Feature-statistics augmentation such as MixSty...

Feed lens

eval

Read the original at arxiv.org →Open in live feed Read that day’s brief

Label-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification

Earlier in this thread 4 items

Hedgementation = Hedgerow Segmentation: A Remote Sensing Benchmark

Evaluating and Enhancing Negation Comprehension in Remote Sensing MLLMs

Paved with True Intents: Intent-Aware Training Improves LLM Safety Classification Across Training Regimes

Forget Narrowly, Retain Broadly: Unlearning as an Asymmetric Generalization Problem