Image-Forgery-Detection-CNN VS classification

Compare Image-Forgery-Detection-CNN vs classification and see what are their differences.

Image-Forgery-Detection-CNN

Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019. (by kPsarakis)
Pytorch image-forgery-detection Cnn Deep Learning
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classification

Classification of the MNIST dataset using various Deep Learning techniques (by giakou4)
Pytorch Classification Mnist contrastive-learning simclr multiple-instance-learning Cnn Deep Learning
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Image-Forgery-Detection-CNN classification
2 1
137 20
- -
0.0 0.0
10 months ago over 1 year ago
Python Python
- MIT License
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Image-Forgery-Detection-CNN

Posts with mentions or reviews of Image-Forgery-Detection-CNN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

classification

Posts with mentions or reviews of classification. We have used some of these posts to build our list of alternatives and similar projects.
  • PyTorch Ensemble model
    1 project | /r/pytorch | 5 Jan 2022
    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.

What are some alternatives?

When comparing Image-Forgery-Detection-CNN and classification you can also consider the following projects:

awesome-colab-notebooks - Collection of google colaboratory notebooks for fast and easy experiments

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

DOLG-pytorch - Unofficial PyTorch Implementation of "DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features"

convolution-vision-transformers - PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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.

Video_Forgery_Detection_Using_Machine_Learning

Image-Forgery-Detection-CNN vs awesome-colab-notebooks classification vs disentangling-vae Image-Forgery-Detection-CNN vs DOLG-pytorch classification vs convolution-vision-transformers Image-Forgery-Detection-CNN vs EasyOCR classification vs dnn_from_scratch Image-Forgery-Detection-CNN vs SincNet classification vs pytorch-sentiment-analysis Image-Forgery-Detection-CNN vs Video_Forgery_Detection_Using_Machine_Learning