student-teacher-anomaly-detection VS image-quality-assessment

Compare student-teacher-anomaly-detection vs image-quality-assessment and see what are their differences.

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student-teacher-anomaly-detection image-quality-assessment
1 1
112 1,590
- 3.0%
0.3 0.0
7 months ago 11 months ago
Python Python
- Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of student-teacher-anomaly-detection. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-31.


Posts with mentions or reviews of image-quality-assessment. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-11.

What are some alternatives?

When comparing student-teacher-anomaly-detection and image-quality-assessment you can also consider the following projects:

DETReg - Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

GLOM-TensorFlow - An attempt at the implementation of GLOM, Geoffrey Hinton's paper for emergent part-whole hierarchies from data

protein-bert-pytorch - Implementation of ProteinBERT in Pytorch

These-People-Do-Not-Exist - AI that generates human faces which have never been seen before. The future is now 😁

HyperGAN - Composable GAN framework with api and user interface

imagededup - 😎 Finding duplicate images made easy!

image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

DarkMark - Marking up images for use with Darknet.

learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

cnn-in-welding - Detecting Faults and Measuring Severity in Welding using Radiographic Images

Fast_Dense_Feature_Extraction - A Pytorch and TF implementation of the paper "Fast Dense Feature Extraction with CNNs with Pooling Layers"

efficientnet - Implementation of EfficientNet model. Keras and TensorFlow Keras.