Mini project

Reported on 6 benchmarks across 6 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology4 results

3DonRice Grain Disease Dataset
mAP· 2020-04-21
88.24
SOTA
Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset arXiv:2004.09870
2D ClassificationonRice Grain Disease Dataset
mAP· 2020-04-21
88.24
SOTA
Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset arXiv:2004.09870
2D Object DetectiononRice Grain Disease Dataset
mAP· 2020-04-21
88.24
SOTA
Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset arXiv:2004.09870
16konRice Grain Disease Dataset
mAP· 2020-04-21
88.24
SOTA
Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset arXiv:2004.09870

Computer Vision2 results

Object DetectiononRice Grain Disease Dataset
mAP· 2020-04-21
88.24
SOTA
Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset arXiv:2004.09870
Small Object DetectiononRice Grain Disease Dataset
mAP· 2020-04-21
88.24
SOTA
Rice grain disease identification using dual phase convolutional neural network based system aimed at small dataset arXiv:2004.09870