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Paper Citation Record · LEDGER

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion

As of 7 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2601.15829.

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Pith citing papers itemized under the disclosed page cap.

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59 of 59 outbound references displayed

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Outbound references

Observation ab9be6c9-92b9-4a9c-8c55-b882e21d8944 · outbound

This paper cites Deep learning in remote sensing: A comprehensive review and list of resources,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Deep learning in remote sensing: A comprehensive review and list of resources,

Reference 1

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Observation e64a3b10-eecc-4b44-8ed0-021cee47a819 · outbound

This paper cites How will ai transform urban observing, sensing, imaging, and mapping?.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion How will ai transform urban observing, sensing, imaging, and mapping?

Reference 2

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Observation 605672f4-beee-4b38-b239-9dbe644f5815 · outbound

This paper cites Scenenet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Scenenet: Remote sensing scene classification deep learning network using multi-objective neural evolution architecture search,

Reference 3

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Observation 2e8bb21c-4d5c-4574-bbad-d2f5996d1ad4 · outbound

This paper cites Dota: A large-scale dataset for object detection in aerial images,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dota: A large-scale dataset for object detection in aerial images,

Reference 4

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Observation 109ca4b9-d82a-45cd-9d8b-2463c1f7b663 · outbound

This paper cites Unetformer: A unet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Unetformer: A unet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery,

Reference 5

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Observation f2bd54ec-c12f-406f-9824-c745ffcadd24 · outbound

This paper cites Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Artificial intelligence for remote sensing data analysis: A review of challenges and opportunities,

Reference 6

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Observation f6b91deb-0de8-4e0d-ac9f-a81d488bdce4 · outbound

This paper cites There are no data like more data: Datasets for deep learning in earth observation,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion There are no data like more data: Datasets for deep learning in earth observation,

Reference 7

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Observation 6a912f7d-835c-47f8-b6b0-765bb31ba32e · outbound

This paper cites Research progress on few-shot learning for remote sensing image interpretation,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Research progress on few-shot learning for remote sensing image interpretation,

Reference 8

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Observation 2fbb6623-45d1-4027-bb53-6819c6ad5728 · outbound

This paper cites Ai security for geoscience and remote sensing: Challenges and future trends,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Ai security for geoscience and remote sensing: Challenges and future trends,

Reference 9

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Observation b7d4689f-d736-40c8-aa23-679b31d036a3 · outbound

This paper cites Responsible artificial intelligence for earth observation: Achievable and realistic paths to serve the collective good,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Responsible artificial intelligence for earth observation: Achievable and realistic paths to serve the collective good,

Reference 10

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Observation 90ce681d-d0e2-487a-9616-cb6449387ae9 · outbound

This paper cites A comprehensive survey of dataset distillation,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion A comprehensive survey of dataset distillation,

Reference 11

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Observation f858c3c0-0e88-4e98-8f0b-a372a9a78d79 · outbound

This paper cites Dataset distillation: A comprehensive review,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dataset distillation: A comprehensive review,

Reference 12

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Observation 66860eca-d307-405d-9572-55a23bd77f31 · outbound

This paper cites Dataset Distillation.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dataset Distillation

Reference 13

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Observation 63cf1ad6-b8ca-4135-b367-d4e7fb47ef80 · outbound

This paper cites Efficient dataset distillation via minimax diffusion,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Efficient dataset distillation via minimax diffusion,

Reference 14

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This paper cites Taming diffusion for dataset distillation with high representativeness,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Taming diffusion for dataset distillation with high representativeness,

Reference 15

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Observation 62965cfc-2969-4c67-bd70-3536e8e88d9b · outbound

This paper cites Deep learning for remote sensing data: A technical tutorial on the state of the art,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Deep learning for remote sensing data: A technical tutorial on the state of the art,

Reference 16

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Observation d706076c-7b79-4e98-b006-f8d33d24509c · outbound

This paper cites Txt2img- mhn: Remote sensing image generation from text using modern hopfield networks,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Txt2img- mhn: Remote sensing image generation from text using modern hopfield networks,

Reference 17

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Observation 1589f47f-3d88-42f8-a727-8162f63d1450 · outbound

This paper cites Text-to-remote-sensing-image generation with structured generative adversarial networks,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Text-to-remote-sensing-image generation with structured generative adversarial networks,

Reference 18

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Observation 261f5b5d-7025-4041-8412-2806ef91c5f0 · outbound

This paper cites Crs-diff: Controllable remote sensing image generation with diffusion model,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Crs-diff: Controllable remote sensing image generation with diffusion model,

Reference 19

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Improved techniques for training GANs,

Reference 20

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Observation 5d01a8b4-a5b4-4679-a7f3-298453f85469 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Gans trained by a two time-scale update rule converge to a local nash equilibrium,

Reference 21

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Observation d5179885-2812-4bd7-bd34-908f74533974 · outbound

This paper cites Energy and policy consid- erations for modern deep learning research,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Energy and policy consid- erations for modern deep learning research,

Reference 22

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This paper cites Flexible dataset distillation: Learn labels instead of images,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Flexible dataset distillation: Learn labels instead of images,

Reference 23

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This paper cites Soft-label dataset distillation and text dataset distillation,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Soft-label dataset distillation and text dataset distillation,

Reference 24

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dataset condensation with gradient matching,

Reference 25

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dataset distillation by matching training trajectories,

Reference 26

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dataset condensation with distribution match- ing,

Reference 27

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dim: Distilling dataset into generative model,

Reference 28

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Dˆ 4: Dataset distillation via disentangled diffusion model,

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Zero-shot text-to-image generation,

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This paper cites Vision-language models in remote sensing: Current progress and future trends,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Vision-language models in remote sensing: Current progress and future trends,

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This paper cites Diffusion models meet remote sensing: Principles, methods, and perspectives,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Diffusion models meet remote sensing: Principles, methods, and perspectives,

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Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Diffusionsat: A generative foundation model for satellite imagery,

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

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Rs5m and georsclip: A large scale vision-language dataset and a large vision-language model for remote sensing,

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This paper cites Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Text2earth: Unlocking text-driven remote sensing image generation with a global-scale dataset and a foundation model,

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Observation 3911cea9-0f9f-4cc8-9d85-7b1dcec309c7 · outbound

This paper cites Federated learning across decentralized and unshared archives for remote sensing image classi- fication: A review,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Federated learning across decentralized and unshared archives for remote sensing image classi- fication: A review,

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Observation ae3f701c-07d0-43f3-988e-160f7f799ba7 · outbound

This paper cites Federated deep learning with prototype matching for object extraction from very-high-resolution remote sensing images,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Federated deep learning with prototype matching for object extraction from very-high-resolution remote sensing images,

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Observation f36b9f5f-d69e-42d4-988d-9033de49ffc3 · outbound

This paper cites Fedrsclip: Federated learning for remote sensing scene classification using vision-language models,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Fedrsclip: Federated learning for remote sensing scene classification using vision-language models,

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Observation 58908811-dd4d-4e13-9308-9f43fea6508b · outbound

This paper cites Local differential privacy based membership-privacy-preserving federated learning for deep-learning- driven remote sensing,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Local differential privacy based membership-privacy-preserving federated learning for deep-learning- driven remote sensing,

Reference 39

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Observation 6ed1ee78-c42d-474d-80fc-9df45d6313e6 · outbound

This paper cites Denoising diffusion probabilistic models,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Denoising diffusion probabilistic models,

Reference 40

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Observation 307d2409-4d11-48bc-b2fb-c8bb2b68ce30 · outbound

This paper cites High- resolution image synthesis with latent diffusion models,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion High- resolution image synthesis with latent diffusion models,

Reference 41

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Observation f2173ffd-3fc2-4a3a-9ecd-9e53d2ced530 · outbound

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

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Learning transferable visual models from natural language supervision,

Reference 42

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Observation 8619d235-7e34-4b03-8a7f-13ea7db792c7 · outbound

This paper cites Scalable diffusion models with transformers,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Scalable diffusion models with transformers,

Reference 43

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Observation 7ccdc1a4-c8dd-4ac2-bea1-a0dc3a19bede · outbound

This paper cites Bag-of-visual-words and spatial extensions for land-use classification,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Bag-of-visual-words and spatial extensions for land-use classification,

Reference 44

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Observation 87d19572-c51a-4d58-8b09-3a5306497d35 · outbound

This paper cites Aid: A benchmark data set for performance evaluation of aerial scene classification,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Aid: A benchmark data set for performance evaluation of aerial scene classification,

Reference 45

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Observation 9564d76f-2b0e-4673-8cbf-fb384fd3b217 · outbound

This paper cites Remote sensing image scene classifica- tion: Benchmark and state of the art,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Remote sensing image scene classifica- tion: Benchmark and state of the art,

Reference 46

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Observation 436a585b-d58f-4776-9419-a5a751971b25 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Imagenet classification with deep convolutional neural networks,

Reference 47

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Observation b32547b1-96c7-4581-ae2c-734acc1ddf9f · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Very Deep Convolutional Networks for Large-Scale Image Recognition

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Observation 7de3c5ba-7928-4a02-b1bc-f09ca8f65976 · outbound

This paper cites Rethinking the inception architecture for computer vision,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Rethinking the inception architecture for computer vision,

Reference 49

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Observation d3202318-f9c0-492c-8371-02144117ab3d · outbound

This paper cites Deep residual learning for image recognition,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Deep residual learning for image recognition,

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Observation e4b8ec80-6340-4c85-9659-1c08892780c3 · outbound

This paper cites Densely connected convolutional networks,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Densely connected convolutional networks,

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Observation 0bacbf8e-7394-4a18-98db-ae2009f056c3 · outbound

This paper cites Designing network design spaces,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Designing network design spaces,

Reference 52

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Observation 13fb3f6c-4766-4a0c-90d2-57e989851116 · outbound

This paper cites Openclip,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Openclip,

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Observation 548a9945-1d92-415f-a7a0-469397a1dae5 · outbound

This paper cites LAION-5b: An open large-scale dataset for training next generation image-text models,.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion LAION-5b: An open large-scale dataset for training next generation image-text models,

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Observation 047fa587-5da2-4fdb-a9a5-41c86e4b9ad1 · outbound

This paper cites Qwen2.5-VL Technical Report.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Qwen2.5-VL Technical Report

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Observation b0f37a51-ebce-46f1-a20a-49116150237b · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Lora: Low-rank adaptation of large language models

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Observation 1945658b-a35a-4517-8434-0c0985d561a1 · outbound

This paper cites Decoupled Weight Decay Regularization.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Decoupled Weight Decay Regularization

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Observation 6b8437ec-0640-4ab0-b269-05f539b74c65 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Adam: A Method for Stochastic Optimization

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Observation 65493bd5-27d8-48fd-a6dd-a74fd80180d2 · outbound

This paper cites Qwen3 Technical Report.

Towards Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion Qwen3 Technical Report

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