Comments (1)
bertinetto
commented on July 23, 2024
Hi!
We always wanted to try, but we never actually did it.
It would be interesting for example to see how it works for pedestrians or faces, both classes that aren't in VID and for which there is large abundance.
I am not sure what are the hyperparameters for the LR (e.g. starting point and schedule) that would work best though.
Don't hesitate to let us know if you make any progress on this.
Cheers,
Luca
from cfnet.
Related Issues (20)
- About greyscale images.
- Confuse about transform disp_instanceInput to disp_instanceFrame
- No property dilate for a layer of type dagnn.Conv HOT 1
- video sequence? HOT 2
- About the performance HOT 7
- How do I see "Tracking"? HOT 7
- About training and vl_imreadjpg? HOT 1
- About the color and gray network and training settings HOT 1
- Tracking for our own data
- Error occured when I training cfnet on my own dataset HOT 4
- any plans for a non-Matab version
- How to resolve the problem "error dagnn.DagNN.loadobj (line 26) block = constr() ; Could not find an exact match for 'XCorr' (case sensitive)" Thanks! HOT 3
- "vl_imreadjpeg.cpp:(.text+0x6ef)：undefined reference to ‘__warn_memset_zero_len’"
- The gaussian response HOT 1
- About Training Details. HOT 1
- opts.batchNormalization is assigned differently make_branch_alexnet_nodilation and make_branches_alexnet. HOT 1
- About traking
- About scale changes
- do u ave Python version of this code?
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from cfnet.