Contrast (vision)

Light and Optics 3_1 More on Reflection and Refraction

A more in depth look at reflection and refraction.

From playlist Physics - Light and Optics

Light and Optics 1_3 Introduction to Reflection

Reflection from plane and spherical mirrors.

From playlist Physics - Light and Optics

Refraction (1 of 5) What is Refraction? An Explanation

Refraction, A conceptual qualitative explanation. Refraction is the change in direction of a ray of light as it passes from one medium to another. The amount of refraction is determined by the index of refraction of the media and the angle of incidence. For light, refraction follows Snell

From playlist Optics: Ray Diagrams, Reflection, Refraction, Thin Lens Equation

Mirrorless Cameras

Mirrorless Cameras are pocket-sized alternatives to DSLRs that feature interchangeable lenses. These cameras use a digital screen or an electronic viewfinder to display what the camera sees. One of the best advantages is that you will be able to see how settings such as shutter speed, ape

From playlist Digital Photography

Light and Optics 3_2 More on Reflection and Refraction

Polarization of reflected light.

From playlist Physics - Light and Optics

Physics 11.1.1a - Reflection

First video in a series on reflection and refraction.

From playlist Physics - Reflection and Refraction

20 AWESOME EXPERIMENTS Optics, mirrors and lens!

Geometric Optics Intuition with Mirrors and Lenses Concave and Convex mirrors, Diverging and Converging lens, shadows, reflection, refraction and colors.

From playlist OPTICS

Light and Optics 8_1 Diffraction and Resolving Power

Diffraction and resolving power.

From playlist Physics - Light and Optics

Spectrum of Hg Lamp / amazing science experiment

Identify the spectral lines of Hg lamp Enjoy the amazing colors! Music: https://www.bensound.com/

From playlist Optics

Ruby not Red: Color Theory for the Rest of Us by Louisa Barrett

This talk will be broken into 5 sections: 1) What is Color Blindness? Explain common types of color blindness. This is to increase audience understanding and empathy, as well as provide context as to why this is something we need to be conscious of and work to improve our efforts to addres

From playlist Madison+ Ruby 2018

CLIP: Connecting Text and Images

This video explains how CLIP from OpenAI transforms Image Classification into a Text-Image similarity matching task. This is done with Contrastive Training and Zero-Shot Pattern-Exploiting Training. Thanks for watching! Paper Links: Clip (Blog Post): https://openai.com/blog/clip/ VirTex:

From playlist AI Research Weekly Updates

Yann LeCun - Self-Supervised Learning: The Dark Matter of Intelligence (FAIR Blog Post Explained)

#selfsupervisedlearning #yannlecun #facebookai Deep Learning systems can achieve remarkable, even super-human performance through supervised learning on large, labeled datasets. However, there are two problems: First, collecting ever more labeled data is expensive in both time and money.

From playlist Papers Explained

AI Weekly Update - May 20th, 2020 (#21)

Thank you for watching! Please Subscribe! I apologize about the Audio Quality, I had the mic too close to my mouth and didn't realize this until I finished editing the video. I didn't have the energy to re-record this episode, but will fix this in the future. Thanks for understanding, I ho

From playlist AI Research Weekly Updates

CLIP - Keras Code Examples

Chapters 0:00 Keras Code Examples 1:32 What is CLIP 3:30 TensorFlow Hub 4:34 The Dataset - MS COCO 13:50 Text and Image Encoders 22:10 Contrastive Learning Framework 29:10 Training the Model 30:15 Semantic Similarity Search 34:40 Recap This video explains the latest Keras Code Example imp

From playlist Keras Code Examples

5. The Midget and Parasol systems

MIT 9.04 Sensory Systems, Fall 2013 View the complete course: http://ocw.mit.edu/9-04F13 Instructor: Peter H. Schiller This lecture describes the Midget and Parasol channels. It includes a discussion of how lesions of the LGN affect contrast sensitivity, brightness perception, pattern and

From playlist MIT 9.04 Sensory Systems, Fall 2013

AI Weekly Update - March 29th, 2021 (#30)!

Thank you for watching! Please Subscribe! Content Links: Recursive Classification: https://ai.googleblog.com/2021/03/recursive-classification-replacing.html Industrial Assembly via RL: https://arxiv.org/pdf/2103.11512.pdf Model-based RL in Healthcare: https://twitter.com/christina_x_ji/st

From playlist AI Research Weekly Updates

AI Weekly Update - June 30th, 2021 (#37!)

Content Links How to train your ViT? https://arxiv.org/abs/2106.10270 VIMPAC https://arxiv.org/abs/2106.11250 EsViT https://arxiv.org/pdf/2106.09785.pdf TokenLearner https://arxiv.org/pdf/2106.11297.pdf FitVid https://arxiv.org/pdf/2106.13195.pdf Co-Advise https://arxiv.org/pdf/2106.12378

From playlist AI Research Weekly Updates

AI Weekly Update - May 26th, 2021 (#32!)

Thank you for watching! Please subscribe! Content Links: APPS: https://arxiv.org/pdf/2105.09938.pdf Improving Code Autocomplete: https://arxiv.org/pdf/2105.05991.pdf DeepDebug: https://arxiv.org/pdf/2105.09352.pdf The Simplicity Bias: https://arxiv.org/pdf/2105.05612.pdf Rethinking "Batch

From playlist AI Research Weekly Updates

Computer Vision Study Group Session on FIBER

In this session of Computer Vision Study Group, Johannes Kolbe walks us through the paper "Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone" (https://arxiv.org/abs/2206.07643) also called FIBER.

From playlist Computer Vision Study Group Sessions

Physics 11.1.2a - Image Formation

Image formation in a plane mirror

From playlist Physics - Reflection and Refraction