https://github.com/parham1998/cnn_image_annotaion
Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
https://github.com/parham1998/cnn_image_annotaion
asymmetric-loss binary-crossentropy convolutional-neural-networks corel-5k deep-neural-networks focal-loss image-annotation matthews-correlation-coefficient multilabel-classification pairwise-ranking pytorch resnet101 resnext tresnet xception-net
Last synced: 2 months ago
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Implementation of some basic Image Annotation methods (using various loss functions & threshold optimization) on Corel-5k dataset with PyTorch library
- Host: GitHub
- URL: https://github.com/parham1998/cnn_image_annotaion
- Owner: parham1998
- Created: 2022-10-01T10:18:34.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2022-10-01T12:22:24.000Z (over 2 years ago)
- Last Synced: 2023-05-13T14:21:20.627Z (about 2 years ago)
- Topics: asymmetric-loss, binary-crossentropy, convolutional-neural-networks, corel-5k, deep-neural-networks, focal-loss, image-annotation, matthews-correlation-coefficient, multilabel-classification, pairwise-ranking, pytorch, resnet101, resnext, tresnet, xception-net
- Language: Python
- Homepage:
- Size: 152 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0