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20242026
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cs.CV2026

Think with Extra-Image: A Farmland Segmentation Agent Driven by Spatio-Temporal Information Gain

Haiyang Wu, Weiliang Mu, Zhuofei Du +4

The paper introduces FarmSeeker, a dynamic segmentation agent that detects ambiguous farmland regions in remote sensing images and queries additional spatio‑temporal data to improv…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2024

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…