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Found 5 papers, 0 papers with code
Improving plant disease classification by adaptive minimal ensembling
Our method was tested on PlantVillage, a public reference dataset used for benchmarking models' performances for crop disease diagnostic, considering both its original and augmented versions.
Ranked #1 on
Image Classification
on PlantVillage
Revisiting ensembling for improving the performance of deep learning models
Ensembling is a very well-known strategy consisting in fusing several different models to achieve a new model for classification or regression tasks.
Efficient Adaptive Ensembling for Image Classification
In recent times, with the exception of sporadic cases, the trend in Computer Vision is to achieve minor improvements compared to considerable increases in complexity.
Ranked #1 on
Image Classification
on Oxford-IIIT Pets
Deep Tree Transductions - A Short Survey
The paper surveys recent extensions of the Long-Short Term Memory networks to handle tree structures from the perspective of learning non-trivial forms of isomorph structured transductions.
Text Summarization as Tree Transduction by Top-Down TreeLSTM
Extractive compression is a challenging natural language processing problem.
