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parham1998 /Enhancing-High-Vocabulary-IA-with-a-Novel-Attention-Based-Pooling

Official Pytorch Implementation of: "Enhancing High-Vocabulary Image Annotation with a Novel Attention-Based Pooling"

image-annotation transformers pytorch convolutional-neural-networks tresnet transformer-decoder asymmetric-loss corel-5k iapr-tc-12 esp-game high-vocabulary-image-annotation vg-500

UpdatedOct 30, 2024
Python

GuyKabiri /Plant-Pathology-Competition

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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.

machine-learning computer-vision deep-learning scheduler cnn plant-pathology resnext adamw efficientnet asymmetric-loss

UpdatedAug 4, 2021
HTML

parham1998 /CNN_Image_Annotaion

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Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library

deep-neural-networks image-annotation pytorch convolutional-neural-networks resnext multilabel-classification focal-loss resnet101 pairwise-ranking binary-crossentropy tresnet xception-net asymmetric-loss corel-5k matthews-correlation-coefficient