-
Hi, thank you for your contribution in exploring application of LMM on detection fake images~~~
When you consider to open-source the FakeClue dataset ?
-
Dear authors, In CIFAKE dataset, the test images have already been classified into REAL and FAKE. I am wondering how does model detect them and can I use my own images for detection?
Thank you for yo…
-
Hello sir.
I am a researcher who is very interested in your FFAA.
In general, GPT models are not able to detect forgery on facial images, and we have difficulty generating captions using GPT.
I wan…
-
Firstly, you should download all datasets including FF++, DFDC-p, CDF, and DFD.
Secondly, you can use the file 'train_CNN_SupCon_and_CE.py' to train your first detection model with the FF++ dat…
-
Hello, I have some questions about the details related to dire ft in the paper. Is Dire FT using new categories of data (such as bedrooms mentioned in the article) to continue training on the original…
-
Hi @heejkoo , i think we can include diffusion models from the **image forensic** perspective, which states how to distinguish image generated by diffusion model from real images. This is a meaningful…
-
### Summary
LoremPixel.com is used by $faker->image to download files from the service.
The service is down, so we can't use $faker->image() at the moment.
We use it in the seeds of a Laravel…
-
Hi, I would like to import openCV into detectnet.py to do real-time object detection based on grayscale video. I added code to detectnet.py based on jetson-utils/cuda-to-cv.py and cuda-from-cv.py, but…
-
# Problem
The legend of the blood pressure section will provide an easy way to find the timestamp and value of blood pressure recordings. The issue is that the best way to encode the data for trainin…
-
I am training on my own dataset, set of images and corresponding label maps.
ran python train.py --name clayseam --batchSize 4 --label_nc 2 --no_instance --dataroot /pub2/sw5park/p2phd, where data…