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MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model

MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model

1 May 2024
Rajat Sahay
Andreas E. Savakis
    MoE
ArXivPDFHTML

Papers citing "MoPEFT: A Mixture-of-PEFTs for the Segment Anything Model"

3 / 3 papers shown
Title
Detailed Annotations of Chest X-Rays via CT Projection for Report
  Understanding
Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
C. Seibold
Simon Reiß
Saquib Sarfraz
M. Fink
Victoria L. Mayer
Jan Sellner
Moon S. Kim
Klaus H. Maier-Hein
Jens Kleesiek
Rainer Stiefelhagen
26
18
0
07 Oct 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned
  H&E-Stained Histological Images
CryoNuSeg: A Dataset for Nuclei Instance Segmentation of Cryosectioned H&E-Stained Histological Images
A. Mahbod
Gerald Schaefer
Benjamin Bancher
Christine Löw
Georg Dorffner
R. Ecker
Isabella Ellinger
63
92
0
02 Jan 2021
1