My model recognizes actions well in static camera videos.When the camera pans or shakes, predictions become unstable.The action is the same.Only the camera motion changes.
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critical error on the website
The base model worked well before.After fine-tuning on new data, accuracy drops everywhere.Even old categories are misclassified.The model seems to have forgotten what it knew.
The reconstruction loss is very low on training images.But when I test on new data, outputs look distorted.The model seems confident but wrong.It feels like it memorized the dataset.
Even small changes need extensive testing. I want to understand why.
I added thousands of new user interactions to my training dataset.Instead of improving, the recommendation quality dropped.Users are now getting irrelevant suggestions.It feels like more data made the model less accurate.
A WordPress site and its firewall show that brute-force protection is enabled.Attackers are making thousands of login attempts from different IPs.No IPs are getting banned, and the logs show everything as “allowed.”The site is running behind a ...
