DCFNet
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foolwood
DCFNet: Discriminant Correlation Filters Network for Visual Tracking
Hey, Is there any newer implementation of the Discriminant Correlation Filters, which are working with the newer pytorch versions? They changed a lot at their complex number calculations, so the...
I meet the same problem with the same environment. After I change the default setting to nonrecursive, the problem still exists. Although the hint change, the problem seems unchanged. Error...
Excuse me, I want to ask how to implement the pooling layer or other functions defined by ourselves? @foolwood
In your tracking process, the output feature size is 125 *125*32 before the DCF layer. However, in your training code, the networkType is set to 12, and the output size...
Thanks for your work and code. When i use the VID2015 as training data ,it will generate 464873 pairs traning data, even the batchsize is set to be 32, it...
Dear Qiang Wang: can you explain how imgcrop_multiscale.m work? I cannot grasp your thought though DCFNet indeed achieve a better results. all best; heng.
Thanks for good work as usual~ Take type-7 and type-12 network for example. I find that the **padding of the conv layers is all 0 when training**(input size: 125 output...
Hi, thnaks for your sharing. When i run the code in matlab2016a with matconvnet beta25, there is always an error: ---------------------------------------------------- error using vl_argparse (line 63) OPTS must be a...
In one of the issues #5, you mentioned that the resolution map is an important factor why DCFNet has better performance than CFNet. Could you elaborate more information about this?...
