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Kaggle's plant disease image classification competition. Finetuning pre-trained CNN models, loss functions, and optimizers in order to achieve better results.
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
Official Pytorch Implementation of: "Enhancing High-Vocabulary Image Annotation with a Novel Attention-Based Pooling"
Official Pytorch Implementation of: "Improving Loss Function for Deep CNN-based Automatic Image Annotation"