I would like to perform appearance-based hashing for similarity detection. I have 500 photos for each of my categories but I only want to maintain the 100 of them that are most distinct. How should I go about this? Are there already well-known baselines for this? I have a preference for Python and PyTorch or bash.

Also, what are the other known methods for this task? I was thinking I could also run the resnet50 on images, extract a 2048 dimension vector and do a cosine similarity but I wonder if there are deep neural network that can do the task I have in mind end-to-end or be more efficient than what I have in mind.


Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.