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PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation

PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation

2 October 2024
Mike Ranzinger
Jon Barker
Greg Heinrich
Pavlo Molchanov
Bryan Catanzaro
Andrew Tao
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Papers citing "PHI-S: Distribution Balancing for Label-Free Multi-Teacher Distillation"

5 / 5 papers shown
Title
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation
Chengxi Zeng
Yuxuan Jiang
Fan Zhang
A. Gambaruto
T. Burghardt
MedIm
48
0
0
03 Apr 2025
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
RFMI: Estimating Mutual Information on Rectified Flow for Text-to-Image Alignment
Chao Wang
Giulio Franzese
A. Finamore
Pietro Michiardi
66
0
0
18 Mar 2025
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
TwinTURBO: Semi-Supervised Fine-Tuning of Foundation Models via Mutual Information Decompositions for Downstream Task and Latent Spaces
Guillaume Quétant
Pavlo Molchanov
Slava Voloshynovskiy
47
0
0
10 Mar 2025
FeatSharp: Your Vision Model Features, Sharper
FeatSharp: Your Vision Model Features, Sharper
Mike Ranzinger
Greg Heinrich
Pavlo Molchanov
Jan Kautz
Bryan Catanzaro
Andrew Tao
VLM
CLIP
60
0
0
22 Feb 2025
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning
Yuxiang Lu
Shengcao Cao
Yu-xiong Wang
49
1
0
18 Oct 2024
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