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Paper Citation Record · LEDGER

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models

As of 9 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2510.07135.

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2510.07135 v1

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measured 37 of 37 reference resolution

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Outbound references

Observation 82d7e419-3984-42e5-b7df-50b66a3268fd · outbound

This paper cites Deep learning in environmental remote sensing: Achievements and challenges,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Deep learning in environmental remote sensing: Achievements and challenges,

Reference 1

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Observation b4bdd3f6-6b89-435a-997a-ec91a4359f51 · outbound

This paper cites From satellite to uav-based remote sensing: A review on precision agriculture,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models From satellite to uav-based remote sensing: A review on precision agriculture,

Reference 2

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Observation f4872903-2118-40cb-985c-d00ba576813c · outbound

This paper cites Streamlined hybrid annotation framework using scalable codestream for bandwidth-restricted uav object detection,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Streamlined hybrid annotation framework using scalable codestream for bandwidth-restricted uav object detection,

Reference 3

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Observation 2b2aca55-30a9-4e0d-810c-79b9d18d27de · outbound

This paper cites Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Remote sensing image scene classification meets deep learning: Challenges, methods, benchmarks, and opportunities,

Reference 4

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Observation 6153f4ed-93f0-4c64-9874-ea5f4cfcf2c6 · outbound

This paper cites Semi-supervised remote-sensing image scene classification using representation consistency siamese network,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Semi-supervised remote-sensing image scene classification using representation consistency siamese network,

Reference 5

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Observation 679e94ef-92bf-4248-9b84-06176b78182b · outbound

This paper cites Stacked autoencoders driven by semi-supervised learning for building extraction from near infrared remote sensing imagery,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Stacked autoencoders driven by semi-supervised learning for building extraction from near infrared remote sensing imagery,

Reference 6

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Observation d6372c68-bba4-48b0-9d3d-1864990b7de0 · outbound

This paper cites Semiroadexnet: A semi- supervised network for road extraction from remote sensing imagery via adversarial learning,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Semiroadexnet: A semi- supervised network for road extraction from remote sensing imagery via adversarial learning,

Reference 7

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Observation 9eec2107-d989-43fb-833e-2c82c40794a8 · outbound

This paper cites Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Few-shot remote sensing image scene classification: Recent advances, new baselines, and future trends,

Reference 8

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Observation 8c8a08d4-d617-4ac7-99b8-145cd21479c1 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Learning transferable visual models from natural language supervision,

Reference 9

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Observation d0f0a459-6cba-4a48-b41b-2e771f82fe9d · outbound

This paper cites Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,

Reference 10

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Observation 3c9fc815-2f9f-433e-a32a-7621a420d4fd · outbound

This paper cites Remoteclip: A vision language foundation model for remote sensing,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Remoteclip: A vision language foundation model for remote sensing,

Reference 11

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Observation d34d7e40-2cc5-46ee-9032-ef93701bb420 · outbound

This paper cites Skyscript: A large and semantically diverse vision-language dataset for remote sens- ing,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Skyscript: A large and semantically diverse vision-language dataset for remote sens- ing,

Reference 12

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Observation 0685a3c1-7560-4797-b59b-9700a60b55cf · outbound

This paper cites H2rsvlm: Towards helpful and honest remote sensing large vision language model,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models H2rsvlm: Towards helpful and honest remote sensing large vision language model,

Reference 13

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This paper cites Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Lhrs-bot: Empowering remote sensing with vgi-enhanced large multimodal language model,

Reference 14

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Observation 93989e77-dda1-45a9-b02e-f5d0a72be1d3 · outbound

This paper cites Enhancing remote sensing vision-language models for zero-shot scene classification,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Enhancing remote sensing vision-language models for zero-shot scene classification,

Reference 15

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Observation f833097c-f4b9-4338-b1d4-43ec895f7682 · outbound

This paper cites Learning to prompt for vision- language models,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Learning to prompt for vision- language models,

Reference 16

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This paper cites Maple: Multi-modal prompt learning,.

Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Maple: Multi-modal prompt learning,

Reference 17

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Conditional prompt learning for vision-language models,

Reference 18

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Visual-language prompt tuning with knowledge-guided context optimization,

Reference 19

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Prompt-aligned gradient for prompt tuning,

Reference 20

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 21

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Self-regulating prompts: Foundational model adaptation without forgetting,

Reference 22

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Clip-adapter: Better vision-language models with feature adapters,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Tip-adapter: Training-free adaption of clip for few-shot classification,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Task residual for tuning vision-language models,

Reference 25

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models A closer look at the few-shot adaptation of large vision-language models,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models V ocabulary-free few-shot learning for vision-language models,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Low-rank few-shot adaptation of vision- language models,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Aid: A benchmark data set for performance evaluation of aerial scene classification,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover classification,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Mlrsnet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Scene classification with recurrent attention of vhr remote sensing images,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Remote sensing image scene classifi- cation: Benchmark and state of the art,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Feature significance-based multibag- of-visual-words model for remote sensing image scene classification,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Rsi-cb: A large-scale remote sensing image classification benchmark using crowdsourced data,

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Few-Shot Adaptation Benchmark for Remote Sensing Vision-Language Models Structural high-resolution satellite image indexing,

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Pith citing papers

No inbound Pith citation observations are available.