Perturber
Code for our paper "Interactive Analysis of CNN Robustness"
Datasets
Feature visualizations: Google Drive
Fine-tuning checkpoints as saved models: Google Drive
Rotated cameraviews: Google Drive
Code for our paper "Interactive Analysis of CNN Robustness"
Feature visualizations: Google Drive
Fine-tuning checkpoints as saved models: Google Drive
Rotated cameraviews: Google Drive
📌 Coming soon: an update to the software including features from our paper on semi-supervised OCR post-correction, to be published in the Transaction
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Image data augmentation is a technique that can be used to artificially expand the size of a training dataset by creating modified versions of images in the dataset.
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MobileNetV1-V2,MobileNeXt,GhostNet,AdderNet,ShuffleNetV1-V2,Mobile+ViT etc. ⭐⭐⭐⭐⭐
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elective-dataset-2021spring 某学校2021春季选课系统GIF验证码数据集(29338张) + 准确率98.4%的Baseline模型 + 上下游相关工具。 数据集采用 知识共享署名-非商业性使用 4.0 国际许可协议 进行许可。 Baseline模型和上下游相关工具采用
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Unofficial Google Colaboratory Notebook and Repository Gallery Please contact me to take over and revamp this repo (it gets around 30k views and 200k
Breaking the Dilemma of Medical Image-to-image Translation Supervised Pix2Pix and unsupervised Cycle-consistency are two modes that dominate the field
image-processing This module generates depth maps for shape-blocked-out images Install If working with anaconda, then from the root directory: conda e