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From the 1 of 7 linked papers with an AI index.

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7 papers

cs.CV2026

ObliCity: A Benchmark and Baseline for Roof-to-Ground Projection Displacement Correction

Kai Li, Yupeng Deng, Ligao Deng +6

The paper presents ObliCity, a large-scale benchmark for extracting roof-to-footprint offset vectors in oblique urban remote sensing images, and introduces DragRoof, an ODE-based m…

cs.CV2026

Decomposed Vision-Language Alignment for Fine-Grained Open-Vocabulary Segmentation

Chenhao Wang, Yingrui Ji, Yu Meng +1

Open-vocabulary segmentation models often struggle to generalize to unseen combinations of object categories and attributes, because fine-grained descriptions are typically encoded…

cs.CV2025

RS-OOD: A Vision-Language Augmented Framework for Out-of-Distribution Detection in Remote Sensing

Chenhao Wang, Yingrui Ji, Yu Meng +2

Out-of-distribution (OOD) detection represents a critical challenge in remote sensing applications, where reliable identification of novel or anomalous patterns is essential for au…

cs.CV2025

SOPSeg: Prompt-based Small Object Instance Segmentation in Remote Sensing Imagery

Chenhao Wang, Yingrui Ji, Yu Meng +2

Extracting small objects from remote sensing imagery plays a vital role in various applications, including urban planning, environmental monitoring, and disaster management. While…

cs.CV2025

IRSAMap:Towards Large-Scale, High-Resolution Land Cover Map Vectorization

Yu Meng, Ligao Deng, Zhihao Xi +9

With the enhancement of remote sensing image resolution and the rapid advancement of deep learning, land cover mapping is transitioning from pixel-level segmentation to object-base…

cs.CV2025

PolyFootNet: Extracting Polygonal Building Footprints in Off-Nadir Remote Sensing Images

Kai Li, Yupeng Deng, Jingbo Chen +6

Extracting polygonal building footprints from off-nadir imagery is crucial for diverse applications. Current deep-learning-based extraction approaches predominantly rely on semanti…