classification
Image-Forgery-Detection-CNN
| classification | Image-Forgery-Detection-CNN | |
|---|---|---|
| 1 | 2 | |
| 20 | 145 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 1 year ago | |
| Python | Python | |
| MIT License | - |
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classification
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PyTorch Ensemble model
I created a CNN for a classification problem using 2 different techniques: 1) conventional CNN and 2) contrastive learning (SimCLR framework). As a reference code, I attack the starting point of my coding: https://github.com/giakou4/MNIST_classification.
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.
What are some alternatives?
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments
convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"
dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).
SincNet - SincNet is a neural architecture for efficiently processing raw audio samples.
pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Video_Forgery_Detection_Using_Machine_Learning