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1CLIP: Connecting text and images
https://openai.com/research/clip
a year ago by @becker
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1Docker vs Singularity vs Shifter vs UGE Container Edition
https://tin6150.github.io/psg/blogger_container_hpc.html
a year ago by @becker
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1michaellee1/CellSeg
https://github.com/michaellee1/CellSeg
a year ago by @becker
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1GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. - GitHub - divamgupta/diffusionbee-stable-diffusion-ui: Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
2 years ago by @hotho
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1https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf
https://apic.ai/assets/pdf/apic.aiReportKarlsruhe_20192020.pdf
2 years ago by @hotho
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5DALL·E 2
https://openai.com/dall-e-2/
2 years ago by @becker
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2GitHub - facebookresearch/detectron2: Detectron2 is FAIR's next-generation platform for object detection and segmentation.
https://github.com/facebookresearch/detectron2
4 years ago by @hotho
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1Reading the Visual
https://monoskop.org/images/1/15/Schirato_Tony_Webb_Jen_Reading_the_Visual.pdf
4 years ago by @schwemmlein
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1mlflowuihelper.user.js
https://gist.github.com/mgbckr/6079e9ac26b33d9ae393791ce4fd7214
5 years ago by @becker
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1Can variational autoencoders (VAE) beat generative adversarial networks (GAN) in image generation or in doing other tasks on an image? - Quora
https://www.quora.com/Can-variational-autoencoders-VAE-beat-generative-adversarial-networks-GAN-in-image-generation-or-in-doing-other-tasks-on-an-image
5 years ago by @becker
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1Convolutional neural networks for artistic style transfer — Harish Narayanan
https://harishnarayanan.org/writing/artistic-style-transfer/
5 years ago by @becker
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1python - prevent plot from showing in jupyter notebook - Stack Overflow
https://stackoverflow.com/questions/18717877/prevent-plot-from-showing-in-jupyter-notebook
5 years ago by @becker
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2ageitgey/face_recognition: The world's simplest facial recognition api for Python and the command line
https://github.com/ageitgey/face_recognition
5 years ago by @becker
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python3
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13Atemberaubende kostenlose Bilder · Pixabay
Discover the best source for free images and videos. Free for commercial use ✓ No attribution required ✓
5 years ago by @hotho
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Bilder
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frei
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5TinEye Reverse Image Search
TinEye is a reverse image search engine. Search by image: Give it an image and it will tell you where the image appears on the web.
6 years ago by @hotho
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engine
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1brain of mat kelcey
http://matpalm.com/blog/counting_bees/
6 years ago by @hotho
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1How to Repair BootCamp Partition on MacOS | Mac Data Recovery blog
http://www.macintosh-data-recovery.com/blog/repair-bootcamp-partition/
6 years ago by @hotho
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1developmentseed/skynet-train: Training and test the SegNet neural network on satellite imagery
https://github.com/developmentseed/skynet-train
6 years ago by @becker
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set
skynet
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neural
data
segmentation
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network
classification
imagesetskynetdatasetneuraldatasegmentationsatelitenetworkclassification
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1NIH Clinical Center provides one of the largest publicly available chest x-ray datasets to scientific community | National Institutes of Health (NIH)
The dataset of scans is from more than 30,000 patients, including many with advanced lung disease.
7 years ago by @hotho
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dataset
scan
imagedatasetscan
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1Synthesizing the preferred inputs for neurons in neural networks via deep generator networks | Evolving AI Lab
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
8 years ago by @hotho
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deep
learning
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publications (hide)24
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2Image segmentation using deep learning: A survey
S. Minaee, Y. Boykov, F. Porikli, A. Plaza, N. Kehtarnavaz, and D. Terzopoulos. IEEE transactions on pattern analysis and machine intelligence, (2021)
a year ago by @becker
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image
citedby:scholar:timestamp:2023-1-5
hecodex
review
segmentation
survey
citedby:scholar:count:1330
imagecitedby:scholar:timestamp:2023-1-5hecodexreviewsegmentationsurveycitedby:scholar:count:1330
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1CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images
M. Lee, J. Bedia, S. Bhate, G. Barlow, D. Phillips, W. Fantl, G. Nolan, and C. Schürch. BMC bioinformatics, 23 (1): 1--17 (2022)
a year ago by @becker
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image
citedby:scholar:count:10
citedby:scholar:timestamp:2022-12-2
fluorescence
staining
nucleus
segmentation
yuqi
he
cell
imagecitedby:scholar:count:10citedby:scholar:timestamp:2022-12-2fluorescencestainingnucleussegmentationyuqihecell
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3InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images
K. Kobs, M. Steininger, and A. Hotho. (2022)cite arxiv:2211.12760Comment: Accepted to WACV 2023.
a year ago by @hotho
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CLIP
myown
deep
language
learning
metric
2022
shot
zero
selected
imageCLIPmyowndeeplanguagelearningmetric2022shotzeroselected
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1SiGra: Single-cell spatial elucidation through image-augmented graph transformer
Z. Tang, T. Zhang, B. Yang, J. Su, and Q. Song. bioRxiv, (2022)
2 years ago by @becker
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image
transformer
spatial
yuqi
graph
single
cell
imagetransformerspatialyuqigraphsinglecell
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2A survey on image data augmentation for deep learning
C. Shorten, and T. Khoshgoftaar. Journal of Big Data, 6 (1): 1--48 (2019)
2 years ago by @becker
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image
citedby:scholar:timestamp:2021-11-23
deep
citedby:scholar:count:2261
data
learning
survey
augmentation
imagecitedby:scholar:timestamp:2021-11-23deepcitedby:scholar:count:2261datalearningsurveyaugmentation
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4Deep learning with multimodal representation for pancancer prognosis prediction
A. Cheerla, and O. Gevaert. Bioinformatics, 35 (14): i446--i454 (2019)
3 years ago by @becker
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image
genetics
citedby:scholar:count:31
gene
related
genes
work
multiomics
citedby:scholar:timestamp:2021-2-15
p21
imagegeneticscitedby:scholar:count:31generelatedgenesworkmultiomicscitedby:scholar:timestamp:2021-2-15p21
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1Investigating higher-order interactions in single-cell data with scHOT
S. Ghazanfar, Y. Lin, X. Su, D. Lin, E. Patrick, Z. Han, J. Marioni, and J. Yang. Nature Methods, (2020)
4 years ago by @becker
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decision
fate
disruption
gene
linage
expression
pseudotime
cell
correlation
genomics
transcriptomics
spatial
order
higher
single
imagedecisionfatedisruptiongenelinageexpressionpseudotimecellcorrelationgenomicstranscriptomicsspatialorderhighersingle
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12MapLUR: Exploring a New Paradigm for Estimating Air Pollution Using Deep Learning on Map Images
M. Steininger, K. Kobs, A. Zehe, F. Lautenschlager, M. Becker, and A. Hotho. ACM Transactions on Spatial Algorithms and Systems (TSAS), 6 (3): 1--24 (2020)
4 years ago by @becker
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image
project:bmbf
mapping
myown
cnn
neural
air
network
networks
quality
p21
street
prediction
map
open
imageproject:bmbfmappingmyowncnnneuralairnetworknetworksqualityp21streetpredictionmapopen
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3Machine Learning on Human Connectome Data from MRI
C. Brown, and G. Hamarneh. (2016)cite arxiv:1611.08699Comment: 51 pages, 6 figures. To be submitted to a journal.
4 years ago by @becker
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image
nalab
functional
disruption
cordis
learning
images
fmri
brain
correlation
machine
connectome
review
survey
imagenalabfunctionaldisruptioncordislearningimagesfmribraincorrelationmachineconnectomereviewsurvey
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1From Google Maps to a fine-grained catalog of street trees
S. Branson, J. Wegner, D. Hall, N. Lang, K. Schindler, and P. Perona. ISPRS Journal of Photogrammetry and Remote Sensing, (2018)
5 years ago by @becker
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image
maps
citedby:scholar:count:4
visual
street
map
tree
p2map
google
eva
citedby:scholar:timestamp:2018-12-15
imagemapscitedby:scholar:count:4visualstreetmaptreep2mapgoogleevacitedby:scholar:timestamp:2018-12-15
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1Combining satellite imagery and machine learning to predict poverty
N. Jean, M. Burke, M. Xie, W. Davis, D. Lobell, and S. Ermon. Science, 353 (6301): 790--794 (2016)
6 years ago by @becker
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image
transfer
citedby:scholar:timestamp:2018-3-28
cnn
neural
machine
learning
satellite
poverty
citedby:scholar:count:131
networks
nn
imagetransfercitedby:scholar:timestamp:2018-3-28cnnneuralmachinelearningsatellitepovertycitedby:scholar:count:131networksnn
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3Intelligent Indexing and Semantic Retrieval of Multimodal Documents
R. Srihari, Z. Zhang, and A. Rao. Inf. Retr., 2 (2-3): 245--275 (May 2000)
6 years ago by @thoni
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image
content-based
retrieval,
multimedia
processing,
query
text
indexing
indexing,
information
multimodal
imagecontent-basedretrieval,multimediaprocessing,querytextindexingindexing,informationmultimodal
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4Multiple Images of the City: Unveiling Group-Specific Urban Perceptions through a Crowdsourcing Game
D. Candeia, F. Figueiredo, N. Andrade, and D. Quercia. Proceedings of the 28th ACM Conference on Hypertext and Social Media, page 135--144. ACM, (2017)
7 years ago by @becker
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image
crowdsourcing
subjective
data
everyaware
photos
images
perception
eva
toread
urban
p2map
human
imagecrowdsourcingsubjectivedataeveryawarephotosimagesperceptionevatoreadurbanp2maphuman
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3Image ranking based on user browsing behavior
M. Trevisiol, L. Chiarandini, L. Aiello, and A. Jaimes. International Conference on Research and Development in Information Retrieval (SIGIR), page 445--454. ACM, (2012)
7 years ago by @becker
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image
citedby:scholar:timestamp:2017-7-16
citedby:scholar:count:21
log
click
diss
web
pageviews
view
inthesis
navigation
ranking
page
user
behavior
imagecitedby:scholar:timestamp:2017-7-16citedby:scholar:count:21logclickdisswebpageviewsviewinthesisnavigationrankingpageuserbehavior
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2Convolutional neural networks for large-scale remote-sensing image classification
E. Maggiori, Y. Tarabalka, G. Charpiat, and P. Alliez. IEEE Transactions on Geoscience and Remote Sensing, 55 (2): 645--657 (2017)
7 years ago by @becker
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image
ann
citedby:scholar:count:10
cnn
citedby:scholar:timestamp:2017-7-15
neural
label
network
classification
labeling
p2map
satelite
nn
imageanncitedby:scholar:count:10cnncitedby:scholar:timestamp:2017-7-15neurallabelnetworkclassificationlabelingp2mapsatelitenn
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2Facial expression (mood) recognition from facial images using committee neural networks
S. Kulkarni, N. Reddy, and S. Hariharan. Biomed Eng Online, (2009)
9 years ago by @hotho
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image
subjective
mood
person
automatic
everyaware
facial
recognition
human
imagesubjectivemoodpersonautomaticeveryawarefacialrecognitionhuman
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4Large Scale Tag Recommendation Using Different Image Representations.
R. Abbasi, M. Grzegorzek, and S. Staab. SAMT, volume 5887 of Lecture Notes in Computer Science, page 65-76. Springer, (2009)
10 years ago by @schwemmlein
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image
tagging
clustering
recommendation
imagetaggingclusteringrecommendation
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2What's going on? Discovering spatio-temporal dependencies in dynamic scenes
D. Kuettel, M. Breitenstein, L. Van Gool, and V. Ferrari. Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, page 1951--1958. IEEE, (2010)
10 years ago by @becker
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image
latent
dirichlet
processing
lda
spatial
allocation
temporal
imagelatentdirichletprocessingldaspatialallocationtemporal
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6Spatial Latent Dirichlet Allocation.
X. Wang, and E. Grimson. NIPS, (2007)
10 years ago by @becker
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image
retrieval
latent
dirichlet
processing
lda
spatial
allocation
imageretrievallatentdirichletprocessingldaspatialallocation
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2What makes an image popular?
A. Khosla, A. Das Sarma, and R. Hamid. Proceedings of the 23rd international conference on World wide web, page 867--876. International World Wide Web Conferences Steering Committee, (2014)
10 years ago by @thoni
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image
popularity
www14
imagepopularitywww14
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