AI RESEARCH
Self-Supervised Learning of Plant Image Representations
arXiv CS.CV
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ArXi:2604.27538v1 Announce Type: new Automated plant recognition plays a crucial role in biodiversity monitoring and conservation, yet current approaches rely heavily on supervised learning, which is limited by the availability of expert-labeled data. Self-supervised learning (SSL) offers a scalable alternative, but existing methods and