Image-Forgery-Detection-CNN
DOLG-pytorch
| Image-Forgery-Detection-CNN | DOLG-pytorch | |
|---|---|---|
| 2 | 1 | |
| 137 | 123 | |
| - | - | |
| 0.0 | 0.0 | |
| 10 months ago | over 2 years ago | |
| Python | Python | |
| - | MIT License |
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Image-Forgery-Detection-CNN
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Question to the Mods: What is the exact criteria for removing new sighting submissions?
So far the bot archives only on the Telegram chann image/video posts that are posted to this subreddit exclusively hosted by the reddit uploaded media servers. It only tries to classify still images, using a small pre-trained dataset ueint from this GitHub repo: https://github.com/kPsarakis/Image-Forgery-Detection-CNN
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Update on the UAP.observer project that aims to instantly archive & classify forgery vs authentic footage.
Today I continued working on the script from yesterday utilizing the help of this GitHub repository (shout out to these guys!): https://github.com/kPsarakis/Image-Forgery-Detection-CNN I managed to get some results already.
DOLG-pytorch
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[R] DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Unofficial Code : https://github.com/dongkyuk/DOLG-pytorch
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Video_Forgery_Detection_Using_Machine_Learning
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