Artificial Intelligence && Deep Learning

Review — SFA: Simplified-Fast-AlexNet (Blur Classification)

In this story, Blur Image Classification based on Deep Learning, (SFA), is reviewed. In this paper:
Simplified-Fast-AlexNet (SFA) is designed to classify if an image is blurred by defocus blur, Gaussian blur, haze blur, or motion blur.

https://medium.com/nerd-for-tech/review-sfa-simplified-fast-alexnet-blur-classification-4121e6d813f9

👉https://t.me/DeepLearning_ai

500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲

https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code


👉https://t.me/DeepLearning_ai

PAPER WITH CODES

https://paperswithcode.com/

The mission of Papers with Code is to create a free and open resource with Machine Learning papers, code and evaluation tables.

We believe this is best done together with the community, supported by NLP and ML.

Also operate specialized portals for papers with code in astronomy, physics, computer sciences, mathematics and statistics.

#Contributing
Anyone can contribute - look for the "Edit" buttons!

Want to submit a new code implementation? Search for the paper title, and then add the implementation on the paper page

https://paperswithcode.com/

you can find a sea of implemented source code with papers.


👉https://t.me/DeepLearning_ai

2021- Courses List of Machine Learning, Deep Learning, and Computer Vision from a top school

CS224W: Machine Learning with Graphs - Stanford / Winter 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUemjLiP4L1x9k6Z9D8rNbYW

Full Stack Deep Learning - Spring 2021 - UC Berkeley
https://www.youtube.com/playlist?list=PLuv1FSpHurUc2nlabZjCLLe8EQa9fOoa9

Introduction to Deep Learning (I2DL) - Technical University of Munich
https://www.youtube.com/playlist?list=PLuv1FSpHurUdmk7v06MDyIx0SDxTrIoqk

3D Computer Vision - National University of Singapore - 2021
https://www.youtube.com/playlist?list=PLuv1FSpHurUflLnJF6hgi0FkeNG1zSFCZ

CV3DST - Computer Vision 3: Detection, Segmentation and Tracking
https://www.youtube.com/playlist?list=PLuv1FSpHurUd08wNo1FMd3eCUZXm8qexe

ADL4CV - Advanced Deep Learning for Computer Vision
https://www.youtube.com/playlist?list=PLuv1FSpHurUcQi2CwFIVQelSFCzxphJqz

👉https://t.me/DeepLearning_ai

Awesome Semantic Segmentation
Networks by architecture

* U-Net
* SegNet
* DeepLab
* FCN
* ENet
* LinkNet
* DenseNet
* DilatedNet
* PixelNet
* .....

A sea of semantic segmentation source codes with papers

https://github.com/mrgloom/awesome-semantic-segmentation/blob/master/README.md

JOIN US

ERFNet: Efficient Residual Factorized ConvNet for
Real-time Semantic Segmentation [Cited by 452]

paper:
http://www.robesafe.uah.es/personal/eduardo.romera/pdfs/Romera17tits.pdf

github [PyTorch]:
https://github.com/Eromera/erfnet_pytorch

MIT 6.S191 Introduction to Deep Learning 2021

Course Description MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep learning algorithms and get practical experience in building neural networks in TensorFlow. Course concludes with a project proposal competition with feedback from staff and panel of industry sponsors. Prerequisites assume calculus (i.e. taking derivatives) and linear algebra (i.e. matrix multiplication), we'll try to explain everything else along the way! Experience in Python is helpful but not necessary. Listeners are welcome!

500 + 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗟𝗶𝘀𝘁 𝘄𝗶𝘁𝗵 𝗰𝗼𝗱𝗲

500 AI Machine learning Deep learning Computer vision NLP Projects with code

This list is continuously updated. - You can take pull request and contribute.

https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

https://t.me/DeepLearning_ai

https://t.me/MachineLearning_Programming

Good day dear subscribers.
Today, 25th January, our community are already more than 30K.
Within these years we learn or still learning more about specific topics through channel.
I try my best to provide, keep going with contemporary knowledge and practice, as well as, keep in touch with things based on #AI, #ML, #DL, #DS, #Python.
Thanks for being with us and stay with us and invite your friends (https://t.me/DeepLearning_ai).
If you have suggestions to improve the channel's content or related things, please let me know. Thanks

@ShohruhRakhmatov

Hierarchical Multi-Scale Attention for Semantic Segmentation

PyTorch implementation
Github: https://github.com/NVIDIA/semantic-segmentation

Video: https://www.youtube.com/watch?v=odAGA7pFBGA&feature=youtu.be

Paper: https://arxiv.org/abs/2005.10821

Method Details: https://www.cityscapes-dataset.com/method-details/?submissionID=7836

Multi-scale inference is commonly used to improve the results of semantic segmentation. combining multi-scale predictions. it to be roughly 4x more memory efficient to train than other recent approaches. In addition to enabling faster training, this allows us to train with larger crop sizes which leads to greater model accuracy.

The top 10 computer vision papers in 2020 with video demos, articles, code, and paper reference.

https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html

Join: https://t.me/DeepLearning_ai

Fast and Furious: Real Time End-to-End 3D Detection, Tracking and Motion Forecasting with a Single Convolutional Net

https://deepai.org/publication/fast-and-furious-real-time-end-to-end-3d-detection-tracking-and-motion-forecasting-with-a-single-convolutional-net

Join: https://t.me/DeepLearning_ai

Real-Time Lane Detection and alerts for Autonomous Driving

medium: https://towardsdatascience.com/real-time-lane-detection-and-alerts-for-autonomous-driving-1f0a021390ee

paper: https://arxiv.org/pdf/1807.01726.pdf

github repo: https://github.com/MaybeShewill-CV/lanenet-lane-detection

Join: https://t.me/DeepLearning_ai