output
19982026
most citedDeep learning in remote sensing: a review

3.2k citations

3,308 papers

astro-ph.IM2026

Identification of gravitational lenses obscured by foreground light in the KiDS dataset using U-Nets and ResNets

S. Liu, Rui Li, J. Jia +13

*Context.* Many lensing images are often obscured by foreground light from the central galaxies, making them challenging to detect. *Aims.* To address the limitations of previous l…

cs.CV2026

Generative Retrieval for Unsupervised Text-Based Person Search

Mang Ye, Yucheng Ji, Yang Bai +4

Text-based person search (TBPS) aims to retrieve images of a target person from a large image gallery based on a given natural language description. Most existing methods rely on s…

quant-ph2026

Saving resources through repeat-until-success positive-operator-valued-measure measurements in quantum computation

Hefeng Wang, Sixia Yu, Hua Xiang

We present a quantum computation approach in which computation is guided by positive-operator-valuedmeasure (POVM) measurements following a given computation path in multisteps. In…

cs.RO2026

ICI-VLA: In-Context Imitation with Spatiotemporally Aligned Demonstrations for Vision-Language-Action Models

Songhua Yang, Ziyu Liu, Xuetao Li +3

Vision-Language-Action (VLA) policies are commonly adapted to new manipulation settings through additional gradient updates, which limits rapid deployment when task-specific data o…

cs.DL2026

A large-scale dataset of sub-institution name disambiguation and hierarchical structures from OpenAlex

Zhentao Liang, Jin Mao, Gang Li

Accurate attribution of scholarly work to specific sub-institutional units, such as schools or departments of a university, is crucial for granular research assessment and policyma…

cs.LG2026

RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction

Mianzhi Liu, Fan Xiao, Zhiliang Yu +5

Retrosynthesis is a cornerstone of drug discovery and organic synthesis. While data-driven deep learning models have shown remarkable progress, they autonomously learn reaction pat…