Comments (1)
bbuing9
commented on July 20, 2024
Thanks for your interest in our work!
We haven’t tried so far, but we agree that detection is also an important task in the context of a class-imbalanced setting, and it would be a definitely interesting future work to apply our method on this task.
Object detection differs to classification mainly on predicting bounding boxes, and one may consider to design a M2m translation objective for bounding boxes. I found [1] can be somewhat related regarding this.
Hope it helps you.
[1] Haichao Zhang and Jianyu Wang. Toward Adversarially Robust Object Detection. ICCV 2019.
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Related Issues (11)
- Per-class probablibity being treated as per-sample probability.
- Request for license of M2m
- train M2m HOT 4
- Guidence is needed to reproduce the results ? ? HOT 1
- How to reproduce the results on CIFAR10 and CIFAR100? HOT 1
- Loss function used to train baseline classifier g HOT 1
- Training for celebA dataset HOT 1
- Could you tell me how you use T-SNE? Thank you! HOT 2
- Could you provide the processed CelebA-5 dataset? HOT 2
- Parameter for cifar10/100-r10/100 HOT 1
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