#50papers - Twitter Hashtag

over 2 years ago

#8 SatMAE++ SatMAE++ performs multiscale pretraining and utilizes convolution-based upsampling blocks to reconstruct the image at higher scales a note: we should start including segmentation in benchmarks https://t.co/iWnZf7bsoe #50papers #AI4EO #remotesensing #deeplearning

valeriomarsocci's tweet photo. #8 SatMAE++

SatMAE++ performs multiscale pretraining and utilizes convolution-based upsampling blocks to reconstruct the image at higher scales

a note: we should start including segmentation in benchmarks

https://t.co/iWnZf7bsoe

#50papers #AI4EO #remotesensing #deeplearning https://t.co/qVIE3jO8NY

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Valerio Marsocci @valeriomarsocci

over 2 years ago

#6 xAI for EO xAI is typically designed for natural images. RS imagery has different properties This paper summarizes all the work conducted in xAI for EO what I liked most: the research questions https://t.co/Qt1z2zzO28 #50papers #AI4EO #remotesensing #deeplearning #GeoAI

valeriomarsocci's tweet photo. #6 xAI for EO

xAI is typically designed for natural images. RS imagery has different properties

This paper summarizes all the work conducted in xAI for EO

what I liked most: the research questions

https://t.co/Qt1z2zzO28

#50papers #AI4EO #remotesensing #deeplearning #GeoAI https://t.co/FbLOP5DFrH

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Valerio Marsocci @valeriomarsocci

over 2 years ago

#5 LLMs for EO Trends: a) need for multi-modal (not only vision-language) datasets b) understanding the limitations of non-specialized models c) giving specialized visual clues to the LLMs d) adapting the models #50papers #AI4EO #remotesensing #deeplearning #GeoAI

valeriomarsocci's tweet photo. #5 LLMs for EO

Trends:
a) need for multi-modal (not only vision-language) datasets
b) understanding the limitations of non-specialized models
c) giving specialized visual clues to the LLMs
d) adapting the models

#50papers #AI4EO #remotesensing #deeplearning #GeoAI https://t.co/PPJxlKbvFc

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Valerio Marsocci @valeriomarsocci

over 2 years ago

#4 SatML SatML tries to set a roadmap for satellite machine learning, a new independent research line what I liked most: the focus on dense prediction a little note: some challenges were already clear in geomatics https://t.co/R3DUlLSt9d #50papers #AI4EO

valeriomarsocci's tweet photo. #4 SatML

SatML tries to set a roadmap for satellite machine learning, a new independent research line

what I liked most: the focus on dense prediction
a little note: some challenges were already clear in geomatics

https://t.co/R3DUlLSt9d

#50papers #AI4EO https://t.co/FIZe0TGUki

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Valerio Marsocci @valeriomarsocci

over 2 years ago

#3 CSMAE CSMAE (Cross-Sensor MAE) is an MAE-based algorithm for cross-sensor image retrieval. what I liked most: the sensor-agnostic approach a little note: sensor-agnosticism =/= multimodality paper: https://t.co/w0SudR0OK9 #50papers #AI4EO

valeriomarsocci's tweet photo. #3 CSMAE

CSMAE (Cross-Sensor MAE) is an MAE-based algorithm for cross-sensor image retrieval.

what I liked most: the sensor-agnostic approach
a little note: sensor-agnosticism =/= multimodality

paper: https://t.co/w0SudR0OK9

#50papers #AI4EO https://t.co/K5uahurOT7

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Valerio Marsocci @valeriomarsocci

over 2 years ago

#2 Revisiting pre-trained remote sensing model benchmarks what I liked most: the research question a note: I'd have loved more experiments on the multispectral side https://t.co/X5xX7YylaN (check also TorchGeo) #50papers #ai4eo

valeriomarsocci's tweet photo. #2 Revisiting pre-trained remote sensing model benchmarks

what I liked most: the research question

a note: I'd have loved more experiments on the multispectral side

https://t.co/X5xX7YylaN
(check also TorchGeo)

#50papers #ai4eo https://t.co/Xzlwc3Jddg

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Celeste Manfredi @ManfrediCeleste

almost 4 years ago

I'm excited to share this first #research milestone: #50papers published in peer-reviewed journals indexed on #Pubmed and/or #Scopus. I thank all my mentors and co-authors who made this goal possible! #Passion, #dedication, and #ambition push me in this direction. #Roadto100