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Home Page: https://xinw.ai/cyc-conf
License: Apache License 2.0
Code and models for ICCV2021 paper "Robust Object Detection via Instance-Level Temporal Cycle Confusion".
Home Page: https://xinw.ai/cyc-conf
License: Apache License 2.0
Hi, I find that there are two datasets on Waymo official website, the motion dataset and the perception dataset. And I can not find raw dataset. Which one should I download for this experiment? Thank you
Hi, thanks for this excellent work!
I try to train the model using the config: R50_FPN_daytime_cycle_conf.yaml on BDD100k.
However, the performance is only 18.126 AP which is the same as my retrained baseline (18.108 AP).
There is a 1.0 AP gap with the reported performance in the paper.
Thank you for your interesting work.
It was very impressive to improve the robustness to domain shift through self-supervision.
In particular, I'm interested in conventional UDA settings (e.g. cityscapes -> foggy cityscapes, Sim10k -> cityscapes) that you applied rotation operation as a self-supervision task.
Could you release the code for this, as well?
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