A few-shot pipeline that fuses features from nine domain-adapted CNN critics and classifies via Bi-LSTM reaches 98.09% on 80-shot tomato leaf disease classification.
In: 2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)
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DExNet: Combining Observations of Domain Adapted Critics for Leaf Disease Classification with Limited Data
A few-shot pipeline that fuses features from nine domain-adapted CNN critics and classifies via Bi-LSTM reaches 98.09% on 80-shot tomato leaf disease classification.