In case it helps:

What data brokers call "#segmentation" is never meant to acknowledge what you self-identify as.

It's merely one harmful #label after the other slapped onto you. Harmful because its only purpose is to either extract more #profit from you, or to exclude you from services if you're likely to not contribute to somebody else's earnings.

There are no "mostly harmless" labels, even when those that serve to exclude you are the worst.

@pzriddle
@kentbrew

"There are people in Italy who want to adopt a child. There are women in rural France who have lost their husbands. There are households in Germany that have to make ends meet on 1,000 euros a month. They all have something in common: #data #brokers know about them. Their personal characteristics help the advertising industry make money."

An extensive analysis published at

https://netzpolitik.org/2023/eu-country-comparison-how-data-brokers-are-screening-us/

#privacy #DigitalSelfDefense #EU #Segmentation #targeting

Just Posted: The article explores the importance of network segmentation in edge computing, discussing its benefits in improving performance, enhancing security, and
https://gestaltit.com/sponsored/mako-networks/brian-chambers/segmentation-is-a-key-edge-building-block-with-mako-networks/
#Edge #EdgeComputing #RetailEdge #Segmentation #Sponsored #TechNote #UtilizingEdge

@hekr I hadn't seen #TotalSegmenter before. That is really interesting and might work well for a #CT spine #segmentation project I am working on. :)

Excited about this paper (on which I am a collaborator) showing #MRI #brain #tumor #segmentation is possible with missing scans.

Brain Tumor Segmentation for Multi-Modal MRI with Missing Information
https://doi.org/10.1007/s10278-023-00860-7

EM-Paste: EM-guided Cut-Paste for Image-level Weakly Supervised Instance Segmentation

https://openreview.net/forum?id=vpTtyiIBGt

#segmentation #instance #supervised

Given how loudly some people deny climate change, I was surprised just how widespread climate change awareness is in America. This creates a huge addressable market for climate solutions and action! #climatechange #segmentation
https://www.linkedin.com/pulse/tipping-point-climate-change-attitudes-america-mike-brzozowski/

Given how loudly some people deny climate change, I was surprised just how widespread climate change awareness is in America. This creates a huge addressable market for climate solutions and action! #climatechange #segmentation
https://www.linkedin.com/pulse/tipping-point-climate-change-attitudes-america-mike-brzozowski/

The pace of advancements in segmentation models is truly astounding! We might be closer to achieving zero-shot segmentation than we think!

#segmentation #MachineLearning #AI #DeepLearning #microscopy

https://github.com/IDEA-Research/Grounded-Segment-Anything

Remember SAM from < week ago? Here's the 1st arXiv reference I have seen to it, a tech-report style paper.

Can SAM Segment Anything? When SAM Meets Camouflaged Object Detection
Lv Tang, Haoke Xiao, Bo Li

abs: http://arxiv.org/abs/2304.04709
results stub: https://github.com/luckybird1994/SAMCOD
#arXiv #ComputerVision #Segmentation #AmyPostsPapers

Segment Anything Model (SAM) is a fast system to classify any object from any image without previous training automatically, and it works reasonably well on aerial imagery #segmentation

https://segment-anything.com/

Has anyone out there used TagLab for the analysis of underwater benthic imagery? Looks pretty sweet - https://taglab.isti.cnr.it/ - curious as to your experiences. #segmentation #deeplearning #computervision

Segment Anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross Girshick

abs: https://buff.ly/3zDpNp6
web, demo, dataset: https://buff.ly/3nI929j
code on GH: https://buff.ly/3zAPG8P

The demo is very cool! Video alt: Interactive prompting for segmentation, photo of a snail on top of frog, on top of turtle.
#arXiv #ComputerVision #Segmentation #AmyPostsPapers

Visual #ner by SAM (#segmentation by prompt), I call it https://github.com/facebookresearch/segment-anything

Meta introduces AI model that can isolate and mask objects within images - Enlarge / An example of SAM selecting the outline of a corgi in a photo... - https://arstechnica.com/?p=1929377 #machinelearning #computervision #segmentation #biz⁢ #metaai #corgi #meta #sam #ai

Ars Technica: Meta introduces AI model that can isolate and mask objects within images https://arstechnica.com/?p=1929377 #Tech #arstechnica #IT #Technology #machinelearning #computervision #segmentation #Biz&IT #MetaAI #corgi #meta #SAM #AI

It is not often about the best model architecture, it is about the best training data. Compared DeepLabV3+ and U-net with Resnet50 backbone in a quick experiment, and got identical results.
#DeepLearning #microscopy #segmentation

here's a cool paper I found out about just now (from 2021):

Image Segmentation Using Text and Image Prompts - using CLIP for few/zero-shot image segmentation

https://arxiv.org/pdf/2112.10003.pdf

demo: https://huggingface.co/spaces/taesiri/CLIPSeg

#CLIP #segmentation

Kudos to @HaroldGomezETH who developed the protocol. Harold, a trained computer scientist, quickly realised in his PhD that #image #segmentation would become much easier if the data quality improved - and went to the lab himself to optimise the experimental technique.

Manual #segmentation of brain tumor #MRI data is time-consuming. How can we use adaptive thresholding and histogram-based techniques to automate it?
Read more in a special issue paper “Brain Tumor Detection from MRI using Adaptive Thresholding and Histogram-based Techniques” by E. Murali, K. Meena published in SCPE, Vol. 21, No. 1, (ISSN 1895-1767): https://tinyurl.com/tjchynrk