12 citations · 12 across the 10 of their papers we have counts for
7 papers · 1 filter
Think with Extra-Image: A Farmland Segmentation Agent Driven by Spatio-Temporal Information Gain
Haiyang Wu, Weiliang Mu, Zhuofei Du +4
Existing farmland remote sensing image (FRSI) segmentation follows a "Think with Intra-Image" paradigm, assuming that the current image contains sufficient visual evidence for reli…
iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models
Xuezhi Cui, Dongbo Zhou, Wang Guo +8
Vision-Language Models require efficient adaptation to continually emerging downstream tasks. While Parameter-Efficient Fine-Tuning mitigates catastrophic forgetting, assigning iso…
Towards Accurate UAV Image Perception: Guiding Vision-Language Models with Stronger Task Prompts
Mingning Guo, Mengwei Wu, Shaoxian Li +2
Existing image perception methods based on VLMs generally follow a paradigm wherein models extract and analyze image content based on user-provided textual task prompts. However, s…
Enhancing Scene Classification in Cloudy Image Scenarios: A Collaborative Transfer Method with Information Regulation Mechanism using Optical Cloud-Covered and SAR Remote Sensing Images
Yuze Wang, Rong Xiao, Haifeng Li +2
In remote sensing scene classification, leveraging the transfer methods with well-trained optical models is an efficient way to overcome label scarcity. However, cloud contaminatio…
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…