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When I try to reproduce the result of Table 3 in paper, I haven't found the corresponding code either in eval_ssd.py or eval_ssdk.py. Could you point out how to measure the performance of SSD in one of the CIFAR-10 class as in-distribution and the rest of the classed as a source of anomalies?
Many Thanks
The text was updated successfully, but these errors were encountered:
This was a last minute experiment we ended up running for our rebuttal at ICLR. You can obtain these results using the existing setup itself. It only requires changing the simclr training loss to include a regularization term + changing the temperature .
Hi,
Thank you for sharing the implemented code.
When I try to reproduce the result of Table 3 in paper, I haven't found the corresponding code either in
eval_ssd.py
oreval_ssdk.py
. Could you point out how to measure the performance of SSD in one of the CIFAR-10 class as in-distribution and the rest of the classed as a source of anomalies?Many Thanks
The text was updated successfully, but these errors were encountered: