Comments (4)
You mean replacing the 'resp_newton' function with the 'optimize_scores' used in CCOT? That surely might bring some changes due to the different processing of response scores. But I think it shouldn't make much difference on the whole OTB-100 dataset.
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No.
% Compute Fourier series of interpolation function
[interp1_fs, interp2_fs] = cellfun(@(sz) get_interp_fourier(sz, params), filter_sz_cell, 'uniformoutput', false);
....
% Interpolate features to the continuous domain
xtf = interpolate_dft(xtf, interp1_fs, interp2_fs);
the code is CCOT tracker 。 i think the fuction of interpolate_dft is useful for STRCT . But the performence is becoming bad if add the function of interpolate_dft .
thanks.
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Actually, from my previous experiments on combing CCOT and STRCF methods, the introduction of continuous convolution won't bring much improvements for STRCF. As for your question, maybe you should also interploate the label y as CCOT had done. Futhermore, the hyper-parameters also needs to be tuned for incorporating the continous convolution.
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thank you for your advice.
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Related Issues (19)
- the code of success plots on otb-2015 on the paper HOT 2
- STRCF tracking results HOT 1
- VOT数据集测试问题 HOT 5
- ADMM求解g的代码 HOT 2
- T HOT 1
- 改进了这个算法 HOT 1
- A C/C++ compiler has not been selected with mex -setup HOT 2
- subproblem f
- parameter setting? HOT 1
- 运行demo_STRCF报错 HOT 2
- How to change the opencv version that STRCF uses?
- interface code of VOT 2016 HOT 1
- the problem of Spatial regularization window_parameters? HOT 2
- 缺少.gitmodules文件 HOT 1
- FPS与论文不符 HOT 1
- the problem of cur_AUC? HOT 2
- HOG特征
- deep OTB
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