Code for "Double-Head RCNN: Rethinking Classification and Localization for Object Detection" #809
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wuyuebupt
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double head only with two losses and no attention remove double_head detector for now, merge upchannel to double_head bbox head change the stype using yapl remove uncessary comment# to pass check to pass v2 to pass v3 line too long and style again reuse bottlenet
wuyuebupt
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…n for Object Detection" (open-mmlab#809) * add major components for training double head double head only with two losses and no attention remove double_head detector for now, merge upchannel to double_head bbox head change the stype using yapl remove uncessary comment# to pass check to pass v2 to pass v3 line too long and style again reuse bottlenet * refactoring * bug fix * bug fix for weight initialization * add reg roi scale factor and modify loss weights * rescale the roi after mapping to fpn levels
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Hi @wuyuebupt ！ First of all, we want to express our gratitude for your significant PR in the mmdetection project. Your contribution is highly appreciated, and we are grateful for your efforts in helping improve this open-source project during your personal time. We believe that many developers will benefit from your PR. We would also like to invite you to join our Special Interest Group (SIG) private channel on Discord, where you can share your experiences, ideas, and build connections with like-minded peers. To join the SIG channel, simply message moderator— OpenMMLab on Discord or briefly share your open-source contributions in the #introductions channel and we will assist you. Look forward to seeing you there! Join us ：https://discord.gg/raweFPmdzG If you have WeChat，welcome to join our community on WeChat. You can add our assistant ：openmmlabwx. Please add "mmsig + Github ID" as a remark when adding friends：） Thank you again for your contribution❤ |
Add major components for double head detector