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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

31 August 2017

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Papers citing "EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification"

50 / 1,074 papers shown

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Prototype-Guided Diffusion: Visual Conditioning without External Memory

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BadPromptFL: A Novel Backdoor Threat to Prompt-based Federated Learning in Multimodal Models

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Adapting Vision-Language Models Without Labels: A Comprehensive Survey

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Causal Disentanglement and Cross-Modal Alignment for Enhanced Few-Shot Learning

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Multi-Cache Enhanced Prototype Learning for Test-Time Generalization of Vision-Language Models

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Decouple before Align: Visual Disentanglement Enhances Prompt TuningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025

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Leveraging Convolutional and Graph Networks for an Unsupervised Remote Sensing Labelling Tool

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Stress-Aware Resilient Neural Training

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MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning

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Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration

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Color as the Impetus: Transforming Few-Shot Learner

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MetaLab: Few-Shot Game Changer for Image Recognition

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Zhitai Liu

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155

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Regularizing Subspace Redundancy of Low-Rank Adaptation

...

200

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Beyond Class Tokens: LLM-guided Dominant Property Mining for Few-shot Classification

302

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Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting

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HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models

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TAPS : Frustratingly Simple Test Time Active Learning for VLMs

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Negation-Aware Test-Time Adaptation for Vision-Language Models

333

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Prototype-Guided Pseudo-Labeling with Neighborhood-Aware Consistency for Unsupervised Adaptation

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One Last Attention for Your Vision-Language Model

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Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation

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Hierarchical Cross-modal Prompt Learning for Vision-Language Models

187

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CLIPTTA: Robust Contrastive Vision-Language Test-Time Adaptation

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Gustavo Adolfo Vargas Hakim

254

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LoRA-Loop: Closing the Synthetic Replay Cycle for Continual VLM Learning

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314

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Calibrated and Robust Foundation Models for Vision-Language and Medical Image Tasks Under Distribution Shift

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Intrinsic Training Signals for Federated Learning Aggregation

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FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution Detection

336

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Dynamic Multimodal Prototype Learning in Vision-Language Models

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312

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Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning

230

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SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes

Yifan Yang

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191

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With Limited Data for Multimodal Alignment, Let the STRUCTURE Guide You

262

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Segment Anything for Satellite Imagery: A Strong Baseline and a Regional Dataset for Automatic Field Delineation

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161

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286

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ArchShapeNet:An Interpretable 3D-CNN Framework for Evaluating Architectural ShapesInternational Journal of Architectural Computing (IJAC), 2025

143

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AgriPotential: A Novel Multi-Spectral and Multi-Temporal Remote Sensing Dataset for Agricultural Potentials

Mohammad El Sakka

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152

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Leveraging Satellite Image Time Series for Accurate Extreme Event Detection

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180

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Merging Smarter, Generalizing Better: Enhancing Model Merging on OOD Data

305

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Lakshay Sharma

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130

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CoCoA-Mix: Confusion-and-Confidence-Aware Mixture Model for Context Optimization

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184

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