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[CVIU, DICTA Award] Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization

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Thank you for your awesome work! Now, I want to evaluate my own data based on the provided ckpt of `batfd_plus`. **My custom dataset does not have any more information...

I hope this message finds you well. I am currently working on a project and encountered an issue with the Metadata class in the lavdf.py file. When trying to initialize...

Hi, Thanks for your awesome work. I'm looking to benchmark your checkpoints on a video dataset that I have created. Do you have advice on the easiest way to do...

Dear Thank you for your amazing work. I have been trying to train the network with the LAV-DF dataset, however, I cannot find the metadata.json and metadata.min.json files in the...

Hi, its an awesome project. But I have faced some issues. How the dataset structure should be placed in the script? bcz when I download the dataset it's going to...

Hi, thanks for the great work, I have a question about the function get_pem_smp_weight() of model.boundary_module.py. At line 77 you assigned xmax = (j + 1), and at line 79...

can i use it to train my own vedio dataset, how can i do

请问如何使用模型去定位单个视频的伪造片段

The dataset you have provided is wonderful for Temporal Forgery Localization. The model proposed for the paper detection is also excellent. In addition, the paper mentions that it also works...

test/000002.mp4 has 116 frames but the original test/000001..mp4 has 103 frames. And the test/000003.mp4 is claimed to be "modify_audio": False but sound dfferent to the original 00001.mp4. How to align...