ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2308.06957
  4. Cited By
CEmb-SAM: Segment Anything Model with Condition Embedding for Joint
  Learning from Heterogeneous Datasets

CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets

14 August 2023
Dongik Shin
Beomsu Kim
Seungjun Baek
    MedIm
ArXivPDFHTML

Papers citing "CEmb-SAM: Segment Anything Model with Condition Embedding for Joint Learning from Heterogeneous Datasets"

2 / 2 papers shown
Title
Auto-Generating Weak Labels for Real & Synthetic Data to Improve
  Label-Scarce Medical Image Segmentation
Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
Tanvi Deshpande
Eva Prakash
E. Ross
C. Langlotz
Andrew Ng
Jeya Maria Jose Valanarasu
MedIm
SyDa
VLM
28
1
0
25 Apr 2024
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
210
1,153
0
24 Oct 2016
1