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Deep Learning Digest
A weekly digest about state-of-the-art (SOTA) Deep Learning approaches and solutions
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DeepFake: Trivial or Not?
DeepFake: Trivial or Not?
This article points out what is Deepfake and how can it lead to mishandling which can affect our society.
Debankita Basu
Jan 27, 2021
Objectron: Real-Time 3D Object Detection with Smartphone
Objectron: Real-Time 3D Object Detection with Smartphone
Objectron is a new SOTA dataset, recently presented by Google AI, which intended to improve 3D object recognition in videos.
Mikhail Raevskiy
Nov 25, 2020
PP-OCR — New SOTA in Character Recognition
PP-OCR — New SOTA in Character Recognition
Recently researchers from Baidu have proposed a new neural network model for an image character recognition (OCR) problem.
Mikhail Raevskiy
Oct 20, 2020
The Cone of Silence: Speech Separation by Localization
The Cone of Silence: Speech Separation by Localization
Cone of Silence is a neural network model that divides speakers into audio recordings recorded from multiple microphones
Mikhail Raevskiy
Oct 7, 2020
Meal v2 — Boosting Resnet-50 Accuracy Without Tricks
Meal v2 — Boosting Resnet-50 Accuracy Without Tricks
MEAL V2 is a way to improve the classification accuracy of standard ResNet-50 up to 80% + on the ImageNet dataset without any…
Mikhail Raevskiy
Oct 1, 2020
GAN — Role of Individual Units in a Deep Network
GAN — Role of Individual Units in a Deep Network
When a deep network is trained on a high-level task such as classifying a place or synthesizing a scene, individual neural units within the…
Mikhail Raevskiy
Sep 19, 2020
LaSOT — Large-Scale Dataset for Object Tracking Models
LaSOT — Large-Scale Dataset for Object Tracking Models
LaSOT is a large-scale dataset for training and evaluating object tracking models.
Mikhail Raevskiy
Sep 16, 2020
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