How I look at buildings, with aphantasia

A photograph is not a substitute

Apple Reference Image: A New Approach for Verified Photography - Apple Security Research

Introducing Apple Reference Image, a new solution for verifiable photography on iPhone. This new, opt-in camera mode lets a photographer create a securely timestamped reference image that accurately depicts what was captured by the iPhone's camera sensor. Apple Reference Image…

Note: Here's a single-paragraph summary of [Apple Reference Image: A New Approach for Verified Photography](#rid:1855864961): Apple introduces Apple Reference Image, an opt-in camera mode debuting on the iPhone 18 Pro and Pro Max that produces securely timestamped "reference images" proving a photo genuinely came from a real iPhone camera sensor at a specific time. As AI makes photorealistic fakes and…

People Who Can't Picture Anything Are Rewriting the Science of Imagination - Daily Neuron

Some people can't picture anything in their heads, and studying their brains is overturning a popular theory of how imagination works.

Aphantasia

What Would It Mean to See a New Color?

Olo can be described as the “greenest green,” though it can never be captured by a camera, Rivka Galchen writes. But its development tells us a lot about our color vision.

What a Picture of a Dog Has to Do with Reason and Logic

What a Picture of a Dog Has to Do with Reason and Logic: People who can’t see images in their minds challenge an old philosophical standby

What Your Dog Actually Sees

Most people believe dogs see in black and white. They are wrong. Here is the surprising science behind canine vision and what it means for you and your dog.

Replacement Windows to the Soul - Nautilus

For millennia, artisans have been trying to capture the mystique of the human eye

How the Bird Eye Was Pushed to an Evolutionary Extreme | Quanta Magazine

The bird retina is one of the most energetically expensive tissues in the animal kingdom, yet it doesn’t use the energy advantage of oxygen. New research finally explains how this is possible.

Congenitally Blind People Appear to be Protected from Schizophrenia

Sometimes clues to a disease come from the people who don't get it. A 1950 study of the psychological lives of blind people revealed that there are no cases of people who had been blind since birth developing schizophrenia. Double-checking through larger health records confirmed…

The Scientific Reason Some People Literally Hear Colors

Some people move through the world with a completely different sensory experience than everyone else, and most of them have no idea it’s unusual. As ScienceAlert reports, somewhere between 1 and 4 percent of people have a neurological trait called synaesthesia, where activating…

Mistral's Small 4 consolidates reasoning, vision and coding into one model — at a fraction of the inference cost

Mistral's Small 4 combines reasoning, multimodal analysis and agentic coding in a single open-source model with configurable inference effort, offering enterprises a lower-cost alternative to running separate models for each task.

Autonomous Driving: Assessment Of YOLO Algorithms (RMIT et al.)

A new technical paper titled “Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles” was published by RMIT University, Kyungpook National University, Deakin University and the RCA Robotics Laboratory, Royal College of Art. Abstract…

Newfound 'Reality Signal' Helps the Brain Tell Imagination from Real Life

Seeing and imagining use similar brain machinery. New research reveals the brain circuit that identifies what is real, which may help scientists understand conditions such as schizophrenia

Is It Cake? How Our Brain Deciphers Materials - Nautilus

Neuroscientists are discovering how this basic ability, essential to our survival, works

letting patterns emerge naturally from behavioral data. Using methods borrowed from machine learning, they were able to uncover 36 fundamental dimensions

dataset of 600 images of 200 different materials

The ‘Profound’ Experience of Seeing a New Color

The ecstasy of “olo”

Aphantasia: Inside The Brains Of People Who Have No Mind’s Eye

Did you know some people can’t see images in their minds? It’s a real issue—and it has a name: aphantasia.

A Visual Guide to Vision Transformers | MDTURP

This is a visual guide (scroll story) to Vision Transformers (ViTs), a class of deep learning models that have achieved state-of-the-art performance on image classification tasks.

Blinking is more than meets the eye

Eye blinks aren't just a mechanism to keep our eyes moist. Research finds that blinking plays a key role in processing visual information.

Memory Recognition and Recall in User Interfaces

Recalling items from scratch is harder than recognizing the correct option in a list of choices because the extra context helps users retrieve information from memory.

My left and right eyes see slightly different colors. Is that normal?

Vox is a general interest news site for the 21st century. Its mission: to help everyone understand our complicated world, so that we can all help shape it. In text, video and audio, our reporters explain politics, policy, world affairs, technology, culture, science, the climate…

The Art of the Shadow: How Painters Have Gotten It Wrong for Centuries

The goal is not to expose the “slipups” of the masters but to understand the human brain.

[1702.04680v1] Visual Discovery at Pinterest

Over the past three years Pinterest has experimented with several visual search and recommendation services, including Related Pins (2014), Similar Looks (2015), Flashlight (2016) and Lens (2017)....

How ‘The Dress’ Sparked a Neuroscience Breakthrough

The color debate that broke the internet raised new questions about the relationship between perception and consciousness.

This Optical Illusion Has a Revelation About Your Brain and Eyes (Published 2022)

Your pupils may be dilating when you see images like this one as your brain tries to anticipate the near future.

Everything We See Is a Mash-up of the Brain’s Last 15 Seconds of Visual Information

The brain is basically a time machine that ensures what we see is stable and continuous.

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Source normalization

All Personal Feeds

Candidate pair generation and initial match scoring

Practical Guide to Entity Resolution — part 5

Match scoring iteration

Semantic hand segmentation using Pytorch

Semantic segmentation is the task of predicting the class of each pixel in an image. This problem is more difficult than object detection…

Cameras and Lenses – Bartosz Ciechanowski

Interactive article explaining how cameras and lenses work.

YOLO v4 or YOLO v5 or PP-YOLO? Which should I use?

What are these new YOLO releases in 2020? How do they differ? Which one should I use?

AI system for high precision recognition of hand gestures

Scientists have developed an Artificial Intelligence (AI) system that recognises hand gestures by combining skin-like electronics with computer vision.

Favorites

Welcome to Feedly — the platform where businesses and curious minds stay ahead of the curve! We're passionate about helping teams track competitors, discover new trends, and research emerging security threats. Feedly AI is a collection of machine learning models that…

Computer Vision Recipes: Best Practices and Examples

This is an overview of a great computer vision resource from Microsoft, which demonstrates best practices and implementation guidelines for a variety of tasks and scenarios.

Yolo v5 Object Detection Tutorial

How to set up and train a Yolo v5 Object Detection model?

What is Perspective Warping ? | OpenCV and Python

A step-by-step guide to apply perspective transformation on images

Image Annotation for Computer Vision | CloudFactory

Machine learning is often fueled by image data. In this guide, learn the basics about image annotation, common techniques, and key workforce considerations.

End to End Pipeline for setting up Multiclass Image Classification for Data Scientists - MLWhiz

In this post, we’ll create an end to end pipeline for image multiclass classification using Pytorch.This will include training the model, putting the model’s results in a form that can be shown to business partners, and functions to help deploy the model easily. As an added…

How to cluster images based on visual similarity

Use a pre-trained neural network for feature extraction and cluster images using K-means.

Novel object captioning surpasses human performance on benchmarks

Visual vocabulary advances novel object captioning by breaking free of paired sentence-image training data in vision and language pretraining. Discover how this method helps set new state of the art on the nocaps benchmark and bests CIDEr scores of humans.

Hacked Billboards can Make Teslas See 'Phantom Objects' and Cause Havoc

Tesla's Autopilot system relies on vision rather than LIDAR, which means it can be tricked by messages on billboards and projections created by hackers.

Machine Learning Attack Series: Image Scaling Attacks · wunderwuzzi blog

From fluffy to valuable: How the brain recognises objects

To recognise a chair or a dog, our brain separates objects into their individual properties and then puts them back together. Until recently, it has remained unclear what these properties are. Scientists at the Max Planck Institute for Human Cognitive and Brain Sciences in…

A Mathematical Model Unlocks the Secrets of Vision

Mathematicians and neuroscientists have created the first anatomically accurate model that explains how vision is possible.

Oil Storage Tank’s Volume Occupancy On Satellite Imagery Using YoloV3

Recognition of Oil Storage Tanks in satellite images using the Yolov3 object detection model from scratch using Tensorflow 2.x and…

New Approaches to Object Detection

A brief introduction to CenterNet (Objects as Points), TTFNet and their implementation in TensorFlow 2.2+.

Why Red Means Red in Almost Every Language

The confounding consistency of color categories.

Where We See Shapes, AI Sees Textures | Quanta Magazine

To researchers’ surprise, deep learning vision algorithms often fail at classifying images because they mostly take cues from textures, not shapes.

FORTH-ModelBasedTracker/MocapNET: We present MocapNET, an ensemble of SNN e

We present MocapNET, a real-time method that estimates the 3D human pose directly in the popular Bio Vision Hierarchy (BVH) format, given estimations of the 2D body joints originating from monocula...