https://github.com/HRNet/HRNet-Image-Classification/blob/8f158719e821836e21e6cba99a3241a12a13bc41/lib/models/cls_hrnet.py#L459~L473
If different block types are used in different stages, instead of the default bottleneck-basic-basic-basic in the original yaml file, the channel mismatch error as shown in the figure below will appear. To avoid this error, we change it in the transition layer and use conv3*3 between different stages to match the number of channels. The corrected code and results are shown in the figure below.
(The demonstration is only a proof of feasibility, not an actual demonstration of the code)
https://github.com/HRNet/HRNet-Image-Classification/blob/8f158719e821836e21e6cba99a3241a12a13bc41/lib/models/cls_hrnet.py#L459~L473
If different block types are used in different stages, instead of the default bottleneck-basic-basic-basic in the original yaml file, the channel mismatch error as shown in the figure below will appear. To avoid this error, we change it in the transition layer and use conv3*3 between different stages to match the number of channels. The corrected code and results are shown in the figure below.
(The demonstration is only a proof of feasibility, not an actual demonstration of the code)