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Universal Few-shot Learning of Dense Prediction Tasks with Visual Token
  Matching

Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

27 March 2023
Donggyun Kim
Jinwoo Kim
Seongwoong Cho
Chong Luo
Seunghoon Hong
    VLM
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Papers citing "Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching"

4 / 4 papers shown
Title
Explore In-Context Segmentation via Latent Diffusion Models
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang
Xiangtai Li
Henghui Ding
Lu Qi
Jiangning Zhang
Yunhai Tong
Chen Change Loy
Shuicheng Yan
DiffM
45
6
0
14 Mar 2024
Dense Gaussian Processes for Few-Shot Segmentation
Dense Gaussian Processes for Few-Shot Segmentation
Joakim Johnander
Johan Edstedt
M. Felsberg
F. Khan
Martin Danelljan
57
23
0
07 Oct 2021
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
275
3,784
0
18 Apr 2021
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
F. I. F. Richard Yu
ObjD
73
535
0
16 Mar 2020
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