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1CLIP: Connecting text and images
https://openai.com/research/clip
2 years ago by @becker
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clip
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imageclipconnectiontext
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1Docker vs Singularity vs Shifter vs UGE Container Edition
https://tin6150.github.io/psg/blogger_container_hpc.html
2 years ago by @becker
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docker
container
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imagedockercontainershiftervmsingularity
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1michaellee1/CellSeg
https://github.com/michaellee1/CellSeg
2 years ago by @becker
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hande
code
github
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cellseg
segmentation
yuqi
he
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codex
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imagehandecodegithubpythoncellsegsegmentationyuqiheimagescodexcell
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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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bee
Bilder
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Anzahl
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report
imagebeeBildercvAnzahllearningmodelreport
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5DALL·E 2
https://openai.com/dall-e-2/
3 years ago by @becker
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realistic
openai
toread
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dalle
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generation
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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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1rosinality/vq-vae-2-pytorch: Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch - rosinality/vq-vae-2-pytorch
5 years ago by @nosebrain
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1Reading the Visual
https://monoskop.org/images/1/15/Schirato_Tony_Webb_Jen_Reading_the_Visual.pdf
5 years ago by @schwemmlein
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1UK Biobank
Improving the Health of Future Generations
5 years ago by @nosebrain
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data
biobank
proposal:dzhi
heart
health
imagegeneticdatabiobankproposal:dzhihearthealth
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1mlflowuihelper.user.js
https://gist.github.com/mgbckr/6079e9ac26b33d9ae393791ce4fd7214
5 years ago by @becker
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tamper
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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/
6 years ago by @becker
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cnn
python
neural
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long
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tensorflow
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nn
imagecnnpythonneuralpylongnetworktftransfertensorflowtutorialstylenn
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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
6 years ago by @becker
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show
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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
6 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 ✓
6 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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image
engine
search
imageenginesearch
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1brain of mat kelcey
http://matpalm.com/blog/counting_bees/
7 years ago by @hotho
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bee
counting
ml
imagebeecountingml
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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/
7 years ago by @hotho
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repair
os
windows
mac
imagerepairoswindowsmac
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1developmentseed/skynet-train: Training and test the SegNet neural network on satellite imagery
https://github.com/developmentseed/skynet-train
7 years ago by @becker
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set
skynet
dataset
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satelite
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imagesetskynetdatasetneuraldatasegmentationsatelitenetworkclassification
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publications (hide)57
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1SPACEc: A Streamlined, Interactive Python Workflow for Multiplexed Image Processing and Analysis
Y. Tan, T. Kempchen, M. Becker, M. Haist, D. Feyaerts, Y. Xiao, G. Su, A. Rech, R. Fan, J. Hickey and 1 other author(s). bioRxiv (under review), (2024)
3 months ago by @becker
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myown
library
imaging
pipeline
python
spacec
analysis
single
cell
imagemyownlibraryimagingpipelinepythonspacecanalysissinglecell
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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)
2 years ago by @becker
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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)
2 years 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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2InDiReCT: 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.
2 years ago by @hotho
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image
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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1A survey on image data augmentation for deep learning
C. Shorten, and T. Khoshgoftaar. Journal of Big Data, 6 (1): 1--48 (2019)
3 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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16Deep Residual Learning for Image Recognition
K. He, X. Zhang, S. Ren, and J. Sun. Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition, page 770--778. IEEE, (June 2016)
4 years ago by @nosebrain
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image
resnet
recognition
imageresnetrecognition
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3Deep learning with multimodal representation for pancancer prognosis prediction
A. Cheerla, and O. Gevaert. Bioinformatics, 35 (14): i446--i454 (2019)
4 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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1LayoutLM: Pre-training of Text and Layout for Document Image Understanding.
Y. Xu, M. Li, L. Cui, S. Huang, F. Wei, and M. Zhou. CoRR, (2019)
4 years ago by @nosebrain
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image
layout
ie
imagelayoutie
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3ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks
J. Lu, D. Batra, D. Parikh, and S. Lee. NeurIPS, page 13-23. (2019)
4 years ago by @nosebrain
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image
vilbert
bert
text
imagevilbertberttext
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2LXMERT: Learning Cross-Modality Encoder Representations from Transformers.
H. Tan, and M. Bansal. EMNLP/IJCNLP (1), page 5099-5110. Association for Computational Linguistics, (2019)
4 years ago by @nosebrain
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transformers
text
encoder
lxmert
representations
imagetransformerstextencoderlxmertrepresentations
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1Contrastive Learning of Medical Visual Representations from Paired Images and Text
Y. Zhang, H. Jiang, Y. Miura, C. Manning, and C. Langlotz. (2020)cite arxiv:2010.00747.
4 years ago by @nosebrain
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medical
contrastive
learning
text
encoder
imagemedicalcontrastivelearningtextencoder
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3Towards VQA Models That Can Read
A. Singh, V. Natarajan, M. Shah, Y. Jiang, X. Chen, D. Batra, D. Parikh, and M. Rohrbach. CVPR, page 8317-8326. Computer Vision Foundation / IEEE, (2019)
4 years ago by @nosebrain
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image
models
vqa
language
thema
thema:text_image
text
understanding
imagemodelsvqalanguagethemathema:text_imagetextunderstanding
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4VisualBERT: A Simple and Performant Baseline for Vision and Language
L. Li, M. Yatskar, D. Yin, C. Hsieh, and K. Chang. (2019)cite arxiv:1908.03557Comment: Work in Progress.
4 years ago by @nosebrain
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image
visualbert
bert
text
vision
imagevisualbertberttextvision
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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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image
decision
fate
disruption
gene
linage
expression
pseudotime
cell
correlation
genomics
transcriptomics
spatial
order
higher
single
imagedecisionfatedisruptiongenelinageexpressionpseudotimecellcorrelationgenomicstranscriptomicsspatialorderhighersingle
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11MapLUR: 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)
5 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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2Generating Diverse High-Fidelity Images with VQ-VAE-2
A. Razavi, A. van den Oord, and O. Vinyals. NeurIPS, page 14837-14847. (2019)
5 years ago by @nosebrain
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image
vas
paper-dzhi
vq-vae
vq-vae-2
imagevaspaper-dzhivq-vaevq-vae-2
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1A Comprehensive Survey of Deep Learning for Image Captioning
M. Hossain, F. Sohel, M. Shiratuddin, and H. Laga. ACM Computing Surveys, 51 (6): 1--36 (February 2019)
5 years ago by @nosebrain
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image
caption
survey
paper-dzhi
generation
imagecaptionsurveypaper-dzhigeneration
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2Entangled Transformer for Image Captioning
G. Li, L. Zhu, P. Liu, and Y. Yang. The IEEE International Conference on Computer Vision (ICCV), (October 2019)
5 years ago by @nosebrain
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image
transformer
caption
paper-dzhi
imagetransformercaptionpaper-dzhi
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2Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
P. Anderson, X. He, C. Buehler, D. Teney, M. Johnson, S. Gould, and L. Zhang. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), page 6077-6086. IEEE Computer Society, (2018)
5 years ago by @nosebrain
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attention
caption
q&a
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