80 citations · 110 across the 13 of their papers we have counts for
4 papers · 1 filter
IFShip: Interpretable Fine-grained Ship Classification with Domain Knowledge-Enhanced Vision-Language Models
Mingning Guo, Mengwei Wu, Yuxiang Shen +2
End-to-end interpretation currently dominates the remote sensing fine-grained ship classification (RS-FGSC) task. However, the inference process remains uninterpretable, leading to…
SeFi-CD: A Semantic First Change Detection Paradigm That Can Detect Any Change You Want
Ling Zhao, Zhenyang Huang, Dongsheng Kuang +3
The existing change detection(CD) methods can be summarized as the visual-first change detection (ViFi-CD) paradigm, which first extracts change features from visual differences an…
Homogeneous Tokenizer Matters: Homogeneous Visual Tokenizer for Remote Sensing Image Understanding
Run Shao, Zhaoyang Zhang, Chao Tao +3
The tokenizer, as one of the fundamental components of large models, has long been overlooked or even misunderstood in visual tasks. One key factor of the great comprehension power…
HSONet:A Siamese foreground association-driven hard case sample optimization network for high-resolution remote sensing image change detection
Chao Tao, Dongsheng Kuang, Zhenyang Huang +2
In the later training stages, further improvement of the models ability to determine changes relies on how well the change detection (CD) model learns hard cases; however, there ar…