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After I replace the commonly used random resized crop with the simple resized crop from DeiT III, I find the performance on object detection degrades sharply. But image classification and semantic segmentation are unaffected. Have you ever run object detection, initialized by the supervised pre-trained weights of DeiT III. If so, did you observe the same degradation of performance on object detection task? I will be grateful if you can explain this phenomenon. Thanks!
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Hi @YuanLiuuuuuu,
Thanks for your message.
No we have not tested this. That's a pretty interesting observation. You have experimented this with models that you have pre-trained on which dataset?
Best,
Hugo
After I replace the commonly used random resized crop with the simple resized crop from DeiT III, I find the performance on object detection degrades sharply. But image classification and semantic segmentation are unaffected. Have you ever run object detection, initialized by the supervised pre-trained weights of DeiT III. If so, did you observe the same degradation of performance on object detection task? I will be grateful if you can explain this phenomenon. Thanks!
The text was updated successfully, but these errors were encountered: