Domain-adapted augmentations and plant-specific training data improve self-supervised representations for fine-grained plant species recognition over standard SSL pipelines.
In: Proceedings of the IEEE/CVF confer- ence on computer vision and pattern recognition
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Self-Supervised Learning of Plant Image Representations
Domain-adapted augmentations and plant-specific training data improve self-supervised representations for fine-grained plant species recognition over standard SSL pipelines.