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Multi Instance Multi Label MIML implementation using Attention, from the MIL paper and implementation https://arxiv.org/pdf/1802.04712.pdf
Hello! Great project. Always nice to see implementations for challenging problems made public :]
I have been implementing various solutions to solve MIL problems, but have recently started looking into multi-class MIL.
I therefore, came across your implementation, that seems similar to what I was thinking of doing.
I was just wondering if you have made any other attempts to address the same problem which have yielded better results.
Also, your multi-attention approach where you are applying attention for each class separately and combining these through concatenations, seems extremely similar to what is done in multi-head attention, commonly used in ViTs (for example see here). Any ideas?
In advance, thanks!
When I installed the specified environment, the following error occurred when running the code: TypeError: Input'y' of'Mul' Op has type float32 that does not match type int64 of argument'x'.Can you solve it for me,please.
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