Summarize the papers of the top conferences on deep learning in the past ten years [PDF attached]

Looking back over the past 12 years, there has been tremendous progress in the field of deep learning.

What are some influential deep learning papers from the past 12 years? From the "Three Giants of Deep Learning" to He Yuming, from Google to MIT, 56 god-level papers take you back to the past twelve years of deep learning.

Scan the QR code to reply "deep learning"

A collection of papers from ten years of classic top conferences

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38ab2eb1fc7636f5762d027c73dcbe82.pngThe artificial intelligence technology represented by deep learning is developing rapidly, and new technologies have begun to be explored and applied. I have also prepared the " 2022 Artificial Intelligence White Paper", the report of the Big Three, and 12 deep learning e-books.

Scan the QR code to reply "deep learning"

Lead "Artificial Intelligence White Paper" + Big Three Report + Deep Learning e-book

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This time I also specially invited panda teacher whose research direction is deep learning to give you a talk about deep learning knowledge. This time, I will focus on "Deep Vision Tasks-Progress in Robustness of Object Detection" on August 25. Sun at 20:00 .

Live content:

1: The basics of target detection

2: Detection Robust Challenge

3: Robust Defense Strategy

4: Future Outlook

Teacher panda introduced:

A researcher at a well-known foreign university . During his doctoral period, he published 13 papers in top international conferences or journals such as CVPR\ICCV\ECCV, including 7 papers in total;

He also serves as a reviewer for top international conferences or journals such as CVPR\ICCV\ECCV\AMMMM .

0.01 yuan to make an appointment on August 25

Deep Learning Intensive Lecture Live

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Students who successfully make an appointment for the live broadcast can also receive 85 classic target detection papers from 2022-2033.

Scan the QR code to reply "deep learning"

Leading 2022-2023 Object Detection Special Papers Collection

+Top conference papers involving robustness

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Origin blog.csdn.net/lgzlgz3102/article/details/132439975