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[FEATURE] Support shufflenet #1933
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@flywheel1412 it's never been a priority since they didn't seem particularly stronger or better than other mobile models here already (mobilenet-v2/v3, hardcorenas, tinynet, lcnet, ghostnet, etc). Could likely be supported via efficientnet/mobilenetv3 backbones with additional block type(s) and the extra SE in head... GhostNet is also a very similar model layout that'd be a template to follow... open to well tested full impl with features_only, etc working. But hasn't been a priority for me to tackle. |
tkx for your reply, where cloud i found the benchmark table of |
@flywheel1412 the last batch of results are all in the csv files here: https://github.com/huggingface/pytorch-image-models/tree/main/results
Latest GhostNet-V2, RepGhostNet, MobileOne models that I just added are not in the results yet... probably another week or two as it takes a while to run these days. |
tkx for your wonderful work, I found the
timm
is not support shufflenet v1 and v2 yet, there is any plan to support it? and here is the official repository and related papers.The text was updated successfully, but these errors were encountered: