9,197 results for deep

www.bing.com/ck/a?!&&p=6017e7dca346d88b71583cf0dcc3f32ce263534fbfa5bca6676d16d48704b01aJmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=2aa61659-68b4-6e8a-2217-014b698b6ffc&u=a1aHR0cHM6Ly9nYW1pbmcudG9iaWkuY29tLw&ntb=1

Tobii Gaming | The Next Generation of Head and Eye Tracking

For Creators Amplify engagement for your content by giving your fans deeper insight. With Tobii Eye Tracker 5 and Tobii Ghost, you can show your viewers what you're actually looking at.

arxiv.org/abs/2410.01975v1

Ejected from home: C/1980 E1 (Bowell) and C/2024 L5 (ATLAS)

Context. Natural interstellar objects do not form isolated in deep space, but escape their natal planetary systems. Early removal from their home star systems via close flybys with still-forming planets could be the dominant ejection mechanism. Howev...

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Jan Allen receives the Susan Hill award - Womens Forum of North …

Apr 18, 2013 · The award, named for a tireless advocate for women’s reproductive health recognizes Allen’s decades long commitment to womens’ rights – “a lifelong activist with deep roots in North …

arxiv.org/abs/astro-ph/0312111v1

Sub-millimeter emission from type Ia supernova host galaxies at z=0.5

We present deep sub-millimetre observations of seventeen galaxies at z=0.5, selected through being hosts of a type 1a supernova. Two galaxies are detected directly, and the sample is detected statistically with a mean 850 micron flux of 1.01mJy +/-...

arxiv.org/abs/astro-ph/0406561v1

The X-ray Spectrum of the z=6.30 QSO SDSS J1030+0524

We present a deep XMM-Newton observation of the z=6.30 QSO SDSS J1030+0524, the second most distant quasar currently known. The data contain sufficient counts for spectral analysis, demonstrating the ability of XMM-Newton to measure X-ray spectral...

arxiv.org/abs/1801.05548v1

Source finding in the era of the SKA (precursors): Aegean 2.0

In the era of the SKA precursors, telescopes are producing deeper, larger images of the sky on increasingly small time-scales. The greater size and volume of images place an increased demand on the software that we use to create catalogues, and so ou...

www.reddit.com/r/IndustryOnHBO/comments/1reaj06/often_pronunciation/

‘Often’ pronunciation?

It might just be my cognitive decline, but there are so many levels in season 4, and so much information that I have to re-watch to get everything. This is a real deep dive, but .. Something struck m...

arxiv.org/abs/0711.4741v2

The Jlab Upgrade - Studies of the Nucleon with CLAS12

An overview is presented on the program to study the nucleon structure at the 12 GeV JLab upgrade using the CLAS12 detector. The focus is on deeply virtual exclusive processes to access the generalized parton distributions, semni-inclusive processe...

www.bing.com/ck/a?!&&p=9640badd85671a8f87fac246fe119cfa7c7c1eae11d96f078aa167a8b17810f2JmltdHM9MTc3MjU4MjQwMA&ptn=3&ver=2&hsh=4&fclid=0fb53db5-d0d2-61b0-2843-2aa7d1b660a5&u=a1aHR0cHM6Ly93d3cubGl2ZXNjaWVuY2UuY29tLzUyNzE2LWNyb3dzLXJhdmVucy5odG1s&ntb=1

Crows: Facts about the clever birds that live all over the world

Jun 18, 2025 · Different crow species live on every continent except South America and Antarctica. Although they're sometimes dismissed as noisy pests, crows are clever, curious, and deeply social …

arxiv.org/abs/2308.06715v1

StairNetV3: Depth-aware Stair Modeling using Deep Learning

Vision-based stair perception can help autonomous mobile robots deal with the challenge of climbing stairs, especially in unfamiliar environments. To address the problem that current monocular vision methods are difficult to model stairs accurately w...

github.com/zju3dv/snake

zju3dv/snake

Code for "Deep Snake for Real-Time Instance Segmentation" CVPR 2020 oral (⭐ 1185)

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How climate proofing infrastructure can protect generations

Jul 22, 2025 · As the climate crisis deepens, climate proofing infrastructure is essential, not just for resilience, but also to ensure fairness for future generations.

github.com/VivienFei/CounterfeitBagDetection

VivienFei/CounterfeitBagDetection

The technique of deep learning to compare the images against a vast database that includes top luxury brands (⭐ 3)

arxiv.org/abs/1906.10973v1

Defending Adversarial Attacks by Correcting logits

Generating and eliminating adversarial examples has been an intriguing topic in the field of deep learning. While previous research verified that adversarial attacks are often fragile and can be defended via image-level processing, it remains unclear...

arxiv.org/abs/2009.12724v3

Beneficial Perturbations Network for Defending Adversarial Examples

Deep neural networks can be fooled by adversarial attacks: adding carefully computed small adversarial perturbations to clean inputs can cause misclassification on state-of-the-art machine learning models. The reason is that neural networks fail to a...

arxiv.org/abs/2505.02815v1

Database-Agnostic Gait Enrollment using SetTransformers

Gait recognition has emerged as a powerful tool for unobtrusive and long-range identity analysis, with growing relevance in surveillance and monitoring applications. Although recent advances in deep learning and large-scale datasets have enabled high...

github.com/bcmi/Image-Harmonization-Dataset-iHarmony4

bcmi/Image-Harmonization-Dataset-iHarmony4

[CVPR 2020] The first large-scale public benchmark dataset for image harmonization. The code used in our paper "DoveNet: Deep Image Harmonization via Domain Verification", CVPR2020. Useful for image harmonization, image composition, etc. (⭐ 803)