NeuCo-Bench: A Novel Benchmark Framework for Neural Embeddings in Earth Observation
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Abstract (arXiv)
We introduce NeuCo-Bench, a novel benchmark framework for evaluating (lossy) neural compression and representation learning in the context of Earth Observation (EO). Our approach builds on fixed-size embeddings that act as compact, task-agnostic representations applicable to a broad range of downstream tasks. NeuCo-Bench comprises three components: (i) an evaluation pipeline built around embeddings, (ii) a challenge mode with a hidden-task leaderboard designed to mitigate pretraining bias, and (iii) a scoring system that balances accuracy and stability. To support reproducibility, we release SSL4EO-S12-downstream, a curated multispectral, multitemporal EO dataset. We present results from a public challenge at the 2025 CVPR EARTHVISION workshop and conduct ablations with state-of-the-art foundation models. NeuCo-Bench provides a step towards community-driven, standardized evaluation of neural embeddings for EO and beyond.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 41 of its 79 references that are in the map. First posted on arXiv 19 Oct 2025.
Builds on
41 of 79 references.
References · 41
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29 more
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Built on by
Citing papers per year: 2026: 7.
7 papers.
- 2026Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Accesscited by 5
- 2026TESSERA v2: Scaling Pixel-wise Earth Foundation Modelscited by 5
- 2026Inferring Height from Earth Embeddings: First insights using Google AlphaEarthcited by 4
- 2026How to Embed Matters: Evaluation of EO Embedding Design Choicescited by 1
- 2026How do Self-Supervised Remote Sensing Vision Models Transfer to Downstream Tasks?cited by 0
- 2026Curated retrieval versus open web search in public AI information services: a coverage-trust trade-offcited by 0
- 2026Earth Embeddingscited by 0
- 2026Earth Embeddings4 Aug 2026
- 2026Curated retrieval versus open web search in public AI information services: a coverage-trust trade-off6 Jul 2026
- 2026TESSERA v2: Scaling Pixel-wise Earth Foundation Models4 Jul 2026
- 2026How do Self-Supervised Remote Sensing Vision Models Transfer to Downstream Tasks?11 Jun 2026
- 2026How to Embed Matters: Evaluation of EO Embedding Design Choices11 Mar 2026
- 2026Inferring Height from Earth Embeddings: First insights using Google AlphaEarth19 Feb 2026
- 2026Earth Embeddings as Products: Taxonomy, Ecosystem, and Standardized Access19 Jan 2026