| Network | LSTM | 4x1 Pooling | Gray | Test Acc |
|---|---|---|---|---|
| SimpleNet | N | Y | Y | 99.37% |
| SE-ResNet34 | N | Y | Y | 99.73% |
| Network | LSTM | 4x1 Pooling | Gray | Test Acc |
|---|---|---|---|---|
| SimpleNet | Y | Y | Y | 87.17% |
| SE-ResNet50-PReLU | Y | Y | Y | 94.05% |
| SE-ResNeXt101-PReLU | Y | Y | Y | 94.38% |
Mixed supervision for surface-defect detection: from weakly to fully supervised learning [Computers in Industry 2021] Official PyTorch implementation
MONAI Label is a server-client system that facilitates interactive medical image annotation by using AI. It is an open-source and easy-to-install ecosystem that can run locally on a machine with one
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TC2008B Course material for the Multi-agents and computer graphics course. Setup instructions Strongly recommend using a custom conda environment. Ins
insightocr Text Recognition Accuracy on Chinese dataset by caffe-ocr Network LSTM 4x1 Pooling Gray Test Acc SimpleNet N Y Y 99.37% SE-ResNet34 N Y Y 9
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis | paper | training and evaluation data | failure cases and cle
Scene-Text-Detection-with-SPCNET Unofficial repository for [Scene Text Detection with Supervised Pyramid Context Network][https://arxiv.org/abs/1811.0
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