π Exciting news! The 3rd Data-Centric Land Cover Classification Challenge is here! π Develop AI models to achieve the highest possible performance on a small, highly imbalanced, multi-modal semantic segmentation dataset
Details π https://t.co/JdZwtzIt5a
π Machine Vision Meets Earth Observation β Submit to MVEO 2025!
The 3rd Machine Vision for Earth Observation and Environment Monitoring (MVEO) Workshop will be held at the 36th British Machine Vision Conference (BMVC 2025) in Sheffield, United Kingdom.
π Workshop Date: 27 November 2025
This GRSS-sponsored event unites the Computer Vision, Remote Sensing, and Environmental Monitoring communities to tackle global challenges β from climate change and pollution to disaster relief and sustainable agriculture.
π Paper Submission Deadline: 22 August 2025
π Learn more: https://t.co/n3gl7cAWix
#IEEEGRSS #RemoteSensing #EarthObservation #ComputerVision #MVEO2025 #BMVC2025 #AIforEarth #CallForPapers #EnvironmentalMonitoring #GRSS
π’π’ Call for papers!! #CFP
Workshop on Machine Vision for Earth Observation and Environment Monitoring @BMVCconf#BMVC2025
We invite submissions with at most 9 pages (references excluded), following BMVC guidelines.
Submission instructions: https://t.co/7ZAAe5D44q
π¨Our new review paper "Better, not just more: Data-centric ML for Earth Observation" ππ€π°οΈπ has finally been published in GRSM. Shifting the focus from models to data offers new possibilities to improve accuracy, generalization, and real-world impact: https://t.co/jhxOs6vx0P
Joint work with @MarcCoru, Caroline Gevaert, @MKampffmeyer, @jeferssonalex, @MariaVakalopou1, @RonnyHaensch, Stine Hansen, @Keiller, Jonathan Prexl, @devistuia
Arxiv version: https://t.co/KVdwv0CJCt
π Exciting news! The 2nd Data-Centric Land Cover Classification Challenge is here! π Develop AI models to rank image samples by label noise.
Details π https://t.co/JdZwtzIt5a
Kaggle π https://t.co/IC5R0EgpkK
#AI#ML#ComputerVision@BMVCconf#EarthObservation#DataScience
The Workshop on Machine Vision for Earth Observation and Environment Monitoring @BMVCconf has new deadlines, allowing more time for researchers to submit their papers. Please consider submitting your latest work.
Submission instructions: https://t.co/7ZAAe5D44q
Deadline 16 Aug is approaching fast for our #BMVC2024 workshop on #machinevision for #earthobservation. Please consider submitting your latest work: https://t.co/7ZAAe5D44q
π’π’ Call for papers!!
Workshop on Machine Vision for Earth Observation and Environment Monitoring @BMVCconf#BMVC2024
We invite submissions with at most 9 pages (references excluded), following BMVC guidelines.
Submission instructions: https://t.co/7ZAAe5D44q
π¨New review paper: Focus on data ππ€π°οΈπ ! Our new arXiv paper explores data-centric ML for geospatial remote sensing data. Shifting the focus from models to data offers new possibilities to improve accuracy, generalization, and real-world impact: https://t.co/8IZW0Rcc2D
@Keiller@BMVCconf The time is coming. It's Friday! π°οΈππ»
Be sure to follow the presentation of the Challenge results at @BMVCconf!
- Data-Centric Land Cover Classification Challenge More info here: https://t.co/CNR219Epfv
#BMVC2023
Four papers were accepted for oral presentation at the Workshop on Machine Vision for Earth Observation and Environment Monitoring (MVEO) as partΒ ofΒ @BMVCconf! π£οΈ
Take a look at the complete program: https://t.co/RQmCfI7fhw
#BMVC2023
Are you attending @BMVCconf this week?
Don't miss the Workshop on Machine Vision for Earth Observation and Environmental Monitoring!
We'll have amazing talks by renowned researchers in the field (@CharlottePlltr and @blesa_ux ) and more:
https://t.co/RQmCfI7N74
#BMVC2023
Join us to explore an exciting research direction in machine learning and be part of the first data-centric machine learning challenge for satellite remote sensing data ππ€ at @BMVCconf 2023.