New answers tagged computer-vision
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How to deal with images of different sizes, which need to be passed to a model of fixed input size, without losing details and spatial information?
When using convolutional neural networks for forgery detection, resizing images can indeed be problematic because crucial details, such as noise patterns, may get altered, which can impact the model’s ...
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Is residual mapping always beneficial?
First of all, you can always construct an example to break assumptions.
"Say I take an MLP and generate data according to that MLP, then that MLP is the optimal solution, and anything you add on ...
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If I freeze pre-trained model weights and than train a classifier on top of its embeddings does that called fine-tunning?
I'd like to add another angle to @kostya's excellent answer.
I see the lack of use of additional input as a key distinction for not calling this adaptation fine-tuning. Moreover, as in today's ...
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