arxiv
PublishedNovember 14, 2026 at 5:00 AM
Contrastive Bootstrap Representation Learning for Label-Efficient Agricultural Image Classification
Publisher summary· verbatim
arXiv:2611.15610v1 Announce Type: cross Abstract: Expert annotation remains a major bottleneck in agricultural image classification, where collecting images is often easier than obtaining reliable labels from domain specialists. Self-supervised learning can reduce this dependence by pretraining tran
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMach2: Scientific Discovery Platform with Deterministic Execution Constraints15harxivOverServe: Resource Amplification Attacks on SaaS Agents via Tool--Prompt Co-Design15harxivCFGComposer: Compositional Audio-Text-to-Motion Generation via Copula Score Correction15harxivMulti-View 3D Reconstruction Using V-JEPA Features15hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗