Leaf Cultivar Identification via Prototype-enhanced Learning. (arXiv:2305.03351v1 [cs.CV])

Plant leaf identification is crucial for biodiversity protection and
conservation and has gradually attracted the attention of academia in recent
years. Due to the high similarity among different varieties, leaf cultivar
recognition is also considered to be an ultra-fine-grained visual
classification (UFGVC) task, which is facing a huge challenge. In practice, an
instance may be related to multiple varieties to varying degrees, especially in
the UFGVC datasets. However, deep learning methods trained on one-hot labels
fail to reflect patterns shared …

academia arxiv attention biodiversity challenge classification conservation fine-grained identification practice protection recognition