convolutional neural network (CNN)

21 Posts

Animation showing 3 main types of data augmentation and random cropping of a picture
convolutional neural network (CNN)

Cookbook for Vision Transformers: A Formula for Training Vision Transformers

Vision Transformers (ViTs) are overtaking convolutional neural networks (CNN) in many vision tasks, but procedures for training them are still tailored for CNNs. New research investigated how various training ingredients affect ViT performance.
2 min read
Animated overview of PP-Matting
convolutional neural network (CNN)

Automating Mattes for Visual Effects: New ML Method Produces Image Mattes Easier

Researchers at Baidu introduced PP-Matting, an architecture that, given an image, estimates the transparency of pixels surrounding foreground objects to create mattes without requiring additional input.
3 min read
Data and examples related to a new technique to detect portions of an image
convolutional neural network (CNN)

The Telltale Artifact

Deepfakes have gone mainstream, allowing celebrities to star in commercials without setting foot in a film studio. A new method helps determine whether such endorsements — and other images produced by generative adversarial networks — are authentic.
2 min read
Graphs and data related to Ordered Temporal Alignment Module (Otam)
convolutional neural network (CNN)

Less (Video) is More (Examples)

We’d all love to be able to find similar examples of our favorite cat videos. But few of us want to label thousands of similar videos of even the cutest kitties. New research makes headway in video classification when training examples are scarce.
2 min read
Information and data related to Category-based Subspace Attention Network (CSA-Net)
convolutional neural network (CNN)

Which Shoes Go With That Outfit?

Need a wardrobe upgrade? You could ask the fashion mavens at Netflix’s Queer Eye — or you could use a new neural network. Researchers at Amazon propose Category-based Subspace Attention Network (CSA-Net) to predict and retrieve compatible garments and accessories that complement one another.
2 min read
Images and graphs related to Dense Steerable Filter CNN (DSF-CNN)
convolutional neural network (CNN)

Seeing Straight at Any Rotation

A cat rotated by any number of degrees is still a cat. It takes a lot of rotated training images to teach convolutional filters this simple fact. A new filter design has this common-sense knowledge built-in.
2 min read
Data related to YOLOv4
convolutional neural network (CNN)

Another Look at YOLO

The latest update of the acclaimed real-time object detector You Only Look Once is more accurate than ever. Researchers at Taiwan’s Institute of Information Science Academia Sinica offer YOLOv4 — the first version not to include the architecture’s original creators.
2 min read
Precision Health Toilet illustration
convolutional neural network (CNN)

A Neural Net in Every Bathroom

It’s time to stop flushing valuable data down the toilet. The Precision Health Toilet, a suite of sensors that attach to an ordinary commode, monitors human waste for input for signs of disease. It identifies individual users by scanning where the sun doesn’t shine.
2 min read
Image processing technique explained
convolutional neural network (CNN)

Preserving Detail in Image Inputs

Given real-world constraints on memory and processing time, images are often downsampled before they’re fed into a neural network. But the process removes fine details, and that degrades accuracy. A new technique squeezes images with less compromise.
2 min read
Information related to a test powered by deep learning that diagnoses tumor samples in only a few minutes
convolutional neural network (CNN)

Surgical Speed-Up

Every second counts when a patient’s skull is open in the operating room. A new technique based on deep learning can shorten some brain surgeries. During brain cancer operations, surgeons must stop in mid-operation for up to a half hour while a pathologist analyzes the tumor tissue.
2 min read
Results of a technique that interprets reflected light to reveal objects outside the line of sight
convolutional neural network (CNN)

Periscope Vision

Wouldn’t it be great to see around corners? Deep learning researchers are working on it. Researchers developed deep-inverse correlography, a technique that interprets reflected light to reveal objects outside the line of sight.
2 min read
Association for the Advancement of Artificial Intelligence conference in New York
convolutional neural network (CNN)

Meeting of the Minds

Geoffrey Hinton, Yoshua Bengio, and Yann LeCun presented their latest thinking about deep learning’s limitations and how to overcome them.
2 min read
Autonomous vehicle detecting images projected on the street
convolutional neural network (CNN)

Phantom Menace

Some self-driving cars can’t tell the difference between a person in the roadway and an image projected on the street. A team of researchers used projectors to trick semiautonomous vehicles into detecting people, road signs, and lane markings that didn’t exist.
2 min read
Heart shape made with two hands
convolutional neural network (CNN)

That Swipe-Right Look

In an online dating profile, the photo that highlights your physical beauty may not be the one that makes you look smart or honest — also important traits in a significant other. A new neural network helps pick the most appealing shots.
2 min read
OctConv example
convolutional neural network (CNN)

Convolution Revolution

Looking at images, people see outlines before the details within them. A replacement for the traditional convolutional layer decomposes images based on this distinction between coarse and fine features.
2 min read

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