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Supervised Semantics-preserving Deep Hashing (TPAMI18)

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I'm sorry to bother you again,Mainly not understanding your multi - tag retrieval changes.I can't reproduce this part

i want to use UT-ZAP50K and NUS-WIDE,also want to dispose it like your paper,but your paper not clear.

Hi, kevin I understand the weight of classification error is in your paper(formula (2)) and the weight of binarization similarity in your paper(formula (7)) is different. So I can't understand...

I have a small question about the equation 4 in your T-PAMI paper. The estimated value of **y_nm** is the softmax output of the output layer. But that value never...

When I following the instructions training with cifar10 dataset, the net didn't converge.Part of the log is: I0314 17:24:00.262361 27053 solver.cpp:258] Train net output #2: loss: forcing-binary = -0.124964 (*...

I am trying to use Resnet50. But your src has no files corresponding to batch_norm_layers, therefore the binary has no concept of "batch_norm". How can one build it with batch_norm...

Hello I am trying to reproduce the results of this paper using Keras. I have implemented the loss function as seen in the paper, but the accuracy of the classifier...

@kevinlin311tw Hi Kevin, I have written a small Python code to generate binary codes. It may be useful for someone interested in Python: ```python #coding=utf-8 import numpy as np import...