arXiv Computer Vision
Component Pooling Trained Across Orientations for Few-Shot Remote Sensing Scene Classification
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Few-shot Classification as Multi-instance Verification: Effective Backbone-agnostic Transfer across Domains
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arXiv Computer Vision
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SGLDet: Spectral-aware Global-Local Dynamic Modeling for Multispectral Aerial Object Detection
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LEVIRDet: A Million-Scale 159-Category Dataset and Foundation Model for Universal Remote Sensing Object Detection
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Hugging Face Trending Papers
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Hyperspectral Image Models: Technical Report
Hyperspectral remote sensing has advanced across diverse deep learning paradigms, including spectral spatial CNNs, Vision Transformers, Mamba, graph neural networks, Kolmogorov Arnold networks, and se...
arXiv Computer Vision
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CFGPNet: Cross-Attention-Based Fused Gradient Programmed Network Framework for Multispectral Object Detection
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arXiv Machine Learning
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Label-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification
arXiv:2607. 12704v1 Announce Type: cross Abstract: Multi-label classification assigns several co-occurring labels to each aerial scene, yet deployed models often encounter data distributions different from their training.