#sqirl — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #sqirl, aggregated by home.social.
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Accurate object localization at reduced annotation/computational cost?
#TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.The main highlights of #TriLite include:
• State-of-the-art performance
• < 1M trainable parameters
• single-stage trainingWe will be glad to get in touch at #CVPR2026 to discuss further.
We thank #DEFRA for supporting this research
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Accurate object localization at reduced annotation/computational cost?
#TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.The main highlights of #TriLite include:
• State-of-the-art performance
• < 1M trainable parameters
• single-stage trainingWe will be glad to get in touch at #CVPR2026 to discuss further.
We thank #DEFRA for supporting this research
-
Accurate object localization at reduced annotation/computational cost?
#TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.The main highlights of #TriLite include:
• State-of-the-art performance
• < 1M trainable parameters
• single-stage trainingWe will be glad to get in touch at #CVPR2026 to discuss further.
We thank #DEFRA for supporting this research
-
Accurate object localization at reduced annotation/computational cost?
#TriLite achieves this by pairing a pre-trained backbone, with our #TriHead component which separates ambiguous, foreground and background features.The main highlights of #TriLite include:
• State-of-the-art performance
• < 1M trainable parameters
• single-stage trainingWe will be glad to get in touch at #CVPR2026 to discuss further.
We thank #DEFRA for supporting this research
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Need more evidence on the potential of #AI #interpretability to support scientific #discovery ?
ICYMI: during his fellowship at @goodfireai, Thomas Dooms contributed to understanding of genetic variants using interpretability methods
https://www.goodfire.ai/research/evee-explaining-genetic-variantsAt the #sqIRL lab, we are proud to had been a scientific home to Thomas. We are certain he will making strong contributions in this new stage of his career.
We are looking forward to it, lots of success. -
Need more evidence on the potential of #AI #interpretability to support scientific #discovery ?
ICYMI: during his fellowship at @goodfireai, Thomas Dooms contributed to understanding of genetic variants using interpretability methods
https://www.goodfire.ai/research/evee-explaining-genetic-variantsAt the #sqIRL lab, we are proud to had been a scientific home to Thomas. We are certain he will making strong contributions in this new stage of his career.
We are looking forward to it, lots of success. -
Need more evidence on the potential of #AI #interpretability to support scientific #discovery ?
ICYMI: during his fellowship at @goodfireai, Thomas Dooms contributed to understanding of genetic variants using interpretability methods
https://www.goodfire.ai/research/evee-explaining-genetic-variantsAt the #sqIRL lab, we are proud to had been a scientific home to Thomas. We are certain he will making strong contributions in this new stage of his career.
We are looking forward to it, lots of success. -
Need more evidence on the potential of #AI #interpretability to support scientific #discovery ?
ICYMI: during his fellowship at @goodfireai, Thomas Dooms contributed to understanding of genetic variants using interpretability methods
https://www.goodfire.ai/research/evee-explaining-genetic-variantsAt the #sqIRL lab, we are proud to had been a scientific home to Thomas. We are certain he will making strong contributions in this new stage of his career.
We are looking forward to it, lots of success. -
Need more evidence on the potential of #AI #interpretability to support scientific #discovery ?
ICYMI: during his fellowship at @goodfireai, Thomas Dooms contributed to understanding of genetic variants using interpretability methods
https://www.goodfire.ai/research/evee-explaining-genetic-variantsAt the #sqIRL lab, we are proud to had been a scientific home to Thomas. We are certain he will making strong contributions in this new stage of his career.
We are looking forward to it, lots of success. -
Our survey on the #intepretability/#explainability of Capsule Networks was accepted at #Neurocomputing. Give it a look while it is free to access.
https://doi.org/10.1016/j.neucom.2025.132025 -
Honored to be selected among the Outstanding Reviewers at #CVPR2025.
#UAntwerp #sqIRL #IDLab
https://cvpr.thecvf.com/Conferences/2025/ProgramCommittee#all-outstanding-reviewer