Top Tweets for #imageRetrieval
"Explore the power of Content-Based Image Retrieval (CBIR)! Search and retrieve images based on visual similarity, enabling efficient and accurate results in various industries. #CBIR #ComputerVision #ImageRetrieval #ArtificialIntelligence"
#data #ImageRetrieval #healthcare
👉Most Viewed Article
☘️'Federated Learning to Safeguard Patients Data: A Medical Image Retrieval Case'
--by Gurtaj Singh, Vincenzo Violi, and Marco Fisichella
Available here:
https://t.co/vBtRM7WRqq
#federatedlearning #privacypreserving
Just published: Evolutionary multi-objective design of autoencoders for compact representation of #histopathology whole slide images.
URL: https://t.co/kszqmtndJx
#AI #Pathology #imageretrieval
Check out our paper on Efficient Retrieval of Images with Irregular Patterns using Morphological Image Analysis: Applications to Industrial & Healthcare datasets. In collaboration w/ https://t.co/z97PjTK47k #AI #DataScience #imageretrieval
Our paper: https://t.co/IXgBgLCdQ2
I just published my last weekend project: Building an image content search system using Vespa https://t.co/PObvfHGX1a #deepLearning #machineLearning #vectordatabase #vespa #imageRetrieval
Seid ihr bereit für eine neue Folge #arthistoCast? Der Podcast zur #DigitalenKunstgrschichte veröffentlicht morgen eine neue Folge. Es geht um #computervision #ähnlichkeit #imageretrieval. Wer die Gäste sind? Da muss man sich noch bis morgen gedulden https://t.co/YLGQW3zDjB
📣 New Research Alert! 🔍💬 Chat-based Image Retrieval: a new approach to information retrieval using dialogues with the user. Read the paper by Matan Levy, Rami Ben-Ari, Nir Darshan, and Dani Lischinski at #AI #ImageRetrieval #ChatIR https://t.co/OhCn2sH0sL
I just published Retrieve images using complex text descriptions by Neural Divide-and-Conquer Reasoning with NDCR https://t.co/K4lva7fvpe
#AINewsClips #AI #ML #ArtificialIntelligence #MachineLearning #ComputerVision #ImageRetrieval
🤔Uncertainty in image retrieval? 🧐Frederik Warburg et al. got you covered with their new paper on Bayesian Metric Learning! 🤓Check it out: https://t.co/XSXEK363QB #ImageRetrieval #BayesianML #ML
Open "double" PhD position.
Topic: #Imageretrieval with #deeplearning and #computervision methods. It is joint position with the University of Salerno and the @BernoulliInsti2 @univgroningen
#PhD @phdjobs @PhdJob @infosys_rug
More details here: https://t.co/YiCHR0VtOr
This work will be presented at the Drawings and abstract Imagery: Representation and Analysis (#DIRA2022) workshop being held as part of #ECCV2022. #computervision #imageretrieval #machinelearning #informationretrieval
https://t.co/9WbQ7hscUI
Thanks to the #DIRA2022 workshop for accepting my paper with Diane Oyen: "Abstract Images Have Different Levels of Retrievability Per Reverse Image Search Engine." #imageretrieval
When using reverse image search, are natural images more easily discovered than abstract ones?
2 fully funded open positions: A (4yr) PhD & a (2yr) Postdoc: https://t.co/woZ9guJs3b
Topics: #imageretrieval #deeparchitectures
@CompSciFact @ArtificIntelNFT @DeepLearningAI_ #braininspiredcomputing @UnivGroJobs @AlumniGroningen @univgroningen @infosys_rug @BernoulliInsti2
A nice treat by my collaborators at the @Diem_UniSa. Had a blast touring the campus in Fisciano on their #autonomous car! We (@infosys_rug, @BernoulliInsti2, @univgroningen) are setting up a double doctorate PhD project on #imageretrieval. Stay tuned!
Project partner CERTH presented at the IVMSP 2022
- BiasHash: A Bayesian Hashing Framework for Image Retrieval #artificialintelligence #isola #h2020 #machinelearning #horizoneurope #HorizonEU #imageretrieval #H2020
https://t.co/of2oIaFGYy
This week, at #IVMSP2022, @beyond_center & @CERTHellas project partners, presented 3 papers during the “Multimodal Analysis, Fusion and Retrieval of satellite images” session
Read here👉 https://t.co/4pxSvXVGi8
#machinelearning #CAP #agriculture #imageretrieval #airquality
Read #NewPaper "#ImageRetrieval via #CanonicalCorrelationAnalysis and Binary Hypothesis Testing" from Mr.Kangdi Shi, Mr. Xiaohong Liu and etc.
See more details at:
https://t.co/WeRKOrhenW
#ChernoffInformation
#ImageRetrieval
To improve #visuallocalization in #automatedcars and mobile robots, this #IEEECAA #JournalofAutomaticaSinica study proposes a domain-invariant feature learning #framework for #imageretrieval:
https://t.co/gsZu1WIUta
Our paper titled 'Plasticity-Stability Preserving #MultiTask Learning for #RemoteSensing #ImageRetrieval' has been recently published at IEEE TGRS.
Code: https://t.co/ZE0fR8lGG5
Paper: https://t.co/cOOndDOA8c
Our new method on how to select #triplets for #metriclearning in the context of #imageretrieval has been recently published at #IEEETGRS.
Paper: https://t.co/2YBbTD7GHF
Code: https://t.co/NtlLC0Lalw
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