Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation | Paper Citation Record

Observation 8202db7e-2f54-492a-a9c7-a571b071c8b6 · outbound

This paper cites Terrafm: A Scalable Foundation Model for Unified Multisensor Earth Observation.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Terrafm: A Scalable Foundation Model for Unified Multisensor Earth Observation

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Observation c02c245c-cea1-46a6-9a9d-34135e1d057f · outbound

This paper cites Omnisat: Self-Supervised Modality Fusion for Earth Observation.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Omnisat: Self-Supervised Modality Fusion for Earth Observation

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Observation 04b72788-f993-4239-881b-438c7b910816 · outbound

This paper cites Anysat: One Earth Observation Model for Many Resolutions, Scales, and Modalities.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Anysat: One Earth Observation Model for Many Resolutions, Scales, and Modalities

Reference 3

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Observation c5cdfbd1-3f58-411b-bc8e-1ad55a989bca · outbound

This paper cites Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks

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Observation 854a84d6-82fb-419f-a6b9-93e945cd4b0b · outbound

This paper cites How learning by re- construction produces uninformative features for perception.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation How learning by re- construction produces uninformative features for perception

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Observation 9273f950-e1dc-4bbf-b61b-f32f0b297bf9 · outbound

This paper cites Vi- creg: Variance-invariance-covariance regularization for self- supervised learning.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Vi- creg: Variance-invariance-covariance regularization for self- supervised learning

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Observation e4595ba4-4a10-43f3-8941-39aeba714f0f · outbound

This paper cites Less is More? Data Spe- cialization for Self-Supervised Remote Sensing Models.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Less is More? Data Spe- cialization for Self-Supervised Remote Sensing Models

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Observation be502b2a-6e34-4050-9512-7bb0324001ef · outbound

This paper cites A Foundation Model for the Earth System.Nature, pages 1– 8, 2025.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation A Foundation Model for the Earth System.Nature, pages 1– 8, 2025

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Observation aa4de6d6-d9e6-4372-a6b4-8e115833267a · outbound

This paper cites Sen1floods11: A Georeferenced Dataset to Train and Test Deep Learning Flood Algorithms for Sentinel-1.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Sen1floods11: A Georeferenced Dataset to Train and Test Deep Learning Flood Algorithms for Sentinel-1

Reference 9

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Observation 7f37e73a-e4fb-4225-8e26-142582a7583d · outbound

This paper cites AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation AlphaEarth Foundations: An embedding field model for accurate and efficient global mapping from sparse label data

Reference 10

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Observation 8aa9066d-4207-4cfc-9db4-8a421247c5ea · outbound

This paper cites Emerg- ing Properties in Self-Supervised Vision Transformers.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Emerg- ing Properties in Self-Supervised Vision Transformers

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Observation 92620c75-0ae5-4c86-887d-da55283f7a30 · outbound

This paper cites A Spatial-Temporal Attention- Based Method and A New Dataset for Remote Sensing Im- age Change Detection.Remote Sensing, 12:1662, 2020.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation A Spatial-Temporal Attention- Based Method and A New Dataset for Remote Sensing Im- age Change Detection.Remote Sensing, 12:1662, 2020

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Observation 0d9c1031-4a7e-4de5-9a1a-e7b95a98cf1f · outbound

This paper cites A Simple Framework for Contrastive Learn- ing of Visual Representations.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation A Simple Framework for Contrastive Learn- ing of Visual Representations

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Observation dcfb4996-4bce-401b-a8ba-67159e6203d8 · outbound

This paper cites Exploring Simple Siamese Representation Learning.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Exploring Simple Siamese Representation Learning

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Observation 8a1e9daa-c068-44ff-adfd-d2c02c6c005b · outbound

This paper cites Functional Map of the World.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Functional Map of the World

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Observation 39b81760-e124-4ecb-b199-8669f94060fe · outbound

This paper cites Satmae: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery.Advances in Neural Information Processing Systems, 35:197–211, 2022.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Satmae: Pre-Training Transformers for Temporal and Multi-Spectral Satellite Imagery.Advances in Neural Information Processing Systems, 35:197–211, 2022

Reference 16

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Observation 944abd39-962d-4640-8b8f-1018c428846f · outbound

This paper cites Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

Reference 17

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Observation 8e673c50-e356-4f08-b36b-3d5f12b05881 · outbound

This paper cites Robsense: A Robust Multi-Modal Foundation Model for Remote Sensing With Static, Temporal, and Incomplete Data Adaptability.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Robsense: A Robust Multi-Modal Foundation Model for Remote Sensing With Static, Temporal, and Incomplete Data Adaptability

Reference 18

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Observation 0bccb5b3-6b47-426c-ac4e-87009cf1f489 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation An image is worth 16x16 words: Transformers for image recognition at scale

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Observation 79e309b7-9a04-4d18-a51c-31b704e27ee5 · outbound

This paper cites DUNIA: pixel-sized embeddings via cross-modal alignment for earth observation applications.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation DUNIA: pixel-sized embeddings via cross-modal alignment for earth observation applications

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Observation 0a04745e-5ee5-47b9-932c-f9792bf64a92 · outbound

This paper cites Croma: Remote Sensing Representations With Contrastive Radar- 9 Optical Masked Autoencoders.Advances in Neural Infor- mation Processing Systems, 36:5506–5538, 2023.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Croma: Remote Sensing Representations With Contrastive Radar- 9 Optical Masked Autoencoders.Advances in Neural Infor- mation Processing Systems, 36:5506–5538, 2023

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Observation f97a5bb0-4bb2-4eb2-9f69-0b66a6ae5195 · outbound

This paper cites Panoptic Segmentation of Satellite Image Time Series With Convo- lutional Temporal Attention Networks.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Panoptic Segmentation of Satellite Image Time Series With Convo- lutional Temporal Attention Networks

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Observation f8a0ba7a-035f-491b-92e9-bccef6f644c6 · outbound

This paper cites Crossearth: Geospatial vision foundation model for domain generalizable remote sensing semantic segmentation.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2025.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Crossearth: Geospatial vision foundation model for domain generalizable remote sensing semantic segmentation.IEEE Transactions on Pat- tern Analysis and Machine Intelligence, 2025

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Observation aaa5b47b-dc49-4a26-9adc-9b7701c02d4d · outbound

This paper cites Bootstrap Your Own Latent-a New Ap- proach to Self-Supervised Learning.Advances in neural in- formation processing systems, 33:21271–21284, 2020.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Bootstrap Your Own Latent-a New Ap- proach to Self-Supervised Learning.Advances in neural in- formation processing systems, 33:21271–21284, 2020

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This paper cites Bridging Remote Sensors With Multisensor Geospa- tial Foundation Models.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Bridging Remote Sensors With Multisensor Geospa- tial Foundation Models

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Observation 587480bd-76a2-4923-83aa-9adfe048f3df · outbound

This paper cites Momentum Contrast for Unsupervised Visual Rep- resentation Learning.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Momentum Contrast for Unsupervised Visual Rep- resentation Learning

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This paper cites Masked Autoencoders Are Scal- able Vision Learners.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Masked Autoencoders Are Scal- able Vision Learners

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Unresolved cited work

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Unresolved cited work

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Lobell, and Ste- fano Ermon

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Kingma and Jimmy Ba

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Segment Any- thing

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Geo- bench: Toward Foundation Models for Earth Monitoring

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Unresolved cited work

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Masked Angle-Aware Autoen- coder for Remote Sensing Images

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Towards Geospatial Foundation Models via Continual Pretraining

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Position: Mission Critical–Satellite Data is a Distinct Modality in Machine Learning

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Be the Change You Want to See: Revisiting Remote Sens- ing Change Detection Practices.IEEE Transactions on Geo- science and Remote Sensing, 63:1–11, 2025

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation U- net: Convolutional networks for biomedical image segmen- tation

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Dune: Distilling a Universal Encoder From Heterogeneous 2d and 3d Teachers

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation DINOv3

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation To- wards Advanced Wildfire Analysis: A Siamese Network- Based Change Detection Approach Through Self-Supervised Learning

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Panopticon: Advancing Any- Sensor Foundation Models for Earth Observation

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Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation MTP: Advancing Remote Sensing Foun- dation Model via Multi-Task Pretraining.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024

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Observation f459b8d0-933b-4063-8c3f-31680cd608eb · outbound

This paper cites Multi- label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.IEEE Transactions on Geoscience and Remote Sensing, 2024.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Multi- label Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.IEEE Transactions on Geoscience and Remote Sensing, 2024

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:06.955390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b869ba0-1bc7-42be-b1d9-19e7d048dbda · outbound

This paper cites Towards a Unified Copernicus Foundation Model for Earth Vision.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Towards a Unified Copernicus Foundation Model for Earth Vision

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.040298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28d1a095-5375-4278-9e82-c648d254331d · outbound

This paper cites Extending Global-Local View Alignment for Self-Supervised Learning With Remote Sensing Imagery.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Extending Global-Local View Alignment for Self-Supervised Learning With Remote Sensing Imagery

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.169781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56cc826c-dfa2-4318-9a11-d66861b29a04 · outbound

This paper cites Simplifying DINO via Coding Rate Regularization.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Simplifying DINO via Coding Rate Regularization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.354392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c39782e-d69d-48b2-a604-21a3b0cdbcbf · outbound

This paper cites Foundation Models for Remote Sensing and Earth Observation: A Sur- vey.IEEE Geoscience and Remote Sensing Magazine, 2025.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Foundation Models for Remote Sensing and Earth Observation: A Sur- vey.IEEE Geoscience and Remote Sensing Magazine, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.439882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 470dee1e-28d9-4079-83e0-32c632dc3670 · outbound

This paper cites Unified Perceptual Parsing for Scene Understand- ing.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Unified Perceptual Parsing for Scene Understand- ing

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.594854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18167316-c9bb-42db-b2e7-82eb68883814 · outbound

This paper cites Simmim: A Simple Framework for Masked Image Modeling.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Simmim: A Simple Framework for Masked Image Modeling

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.736224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65c819e6-b741-4dc2-abef-20b24d5bffc8 · outbound

This paper cites Neu- ral Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities.CoRR, 2024.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Neu- ral Plasticity-Inspired Foundation Model for Observing the Earth Crossing Modalities.CoRR, 2024

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.795336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175f765c-c3e8-4560-9637-635918ee1ff9 · outbound

This paper cites One for All: Toward Unified Foundation Models for Earth Vision.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation One for All: Toward Unified Foundation Models for Earth Vision

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.887363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf34fb8e-7e5f-4913-b8ed-2be8c3fe28f0 · outbound

This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:07.969642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eed9bfc4-95ad-4f09-b45d-044d61d255df · outbound

This paper cites SkySense V2: A Uni- 11 fied Foundation Model for Multi-Modal Remote Sensing.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation SkySense V2: A Uni- 11 fied Foundation Model for Multi-Modal Remote Sensing

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T21:36:08.056144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab12b98a-82cb-496e-8792-c3504a1e8f94 · outbound

This paper cites ibot: Image bert pre-training with online tokenizer.International Conference on Learning Representations (ICLR), 2022.

Brewing Stronger Features: Dual-Teacher Distillation for Multispectral Earth Observation ibot: Image bert pre-training with online tokenizer.International Conference on Learning Representations (ICLR), 2022

Reference 66

Resolution: malformed identifier; no resolver link, observed 2026-08-02T21:36:08.166219Z

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