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Found 4 papers, 3 papers with code
Padding Aware Neurons
In this work we identify Padding Aware Neurons (PANs), a type of filter that is found in most (if not all) convolutional models trained with static padding.
When & How to Transfer with Transfer Learning
In deep learning, transfer learning (TL) has become the de facto approach when dealing with image related tasks.
Focus! Rating XAI Methods and Finding Biases
In the field of image recognition many feature attribution methods have been proposed with the purpose of explaining a model's behavior using visual cues.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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Feature discriminativity estimation in CNNs for transfer learning
The purpose of feature extraction on convolutional neural networks is to reuse deep representations learnt for a pre-trained model to solve a new, potentially unrelated problem.
