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NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted
  One-Shot Segmentation

NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation

19 May 2024
Zhiyu Xu
Qingliang Chen
ArXivPDFHTML

Papers citing "NubbleDrop: A Simple Way to Improve Matching Strategy for Prompted One-Shot Segmentation"

4 / 4 papers shown
Title
Matcher: Segment Anything with One Shot Using All-Purpose Feature
  Matching
Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
Yang Liu
Muzhi Zhu
Hengtao Li
Hao Chen
Xinlong Wang
Chunhua Shen
VLM
MLLM
88
83
0
22 May 2023
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
322
4,077
0
24 May 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLM
CLIP
298
3,700
0
11 Feb 2021
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