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Image Segmentation Using Text and Image Prompts

Image Segmentation Using Text and Image Prompts

18 December 2021
Timo Lüddecke
Alexander S. Ecker
    CLIP
    VLM
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Papers citing "Image Segmentation Using Text and Image Prompts"

18 / 68 papers shown
Title
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais
Muzammal Naseer
Salman Khan
Rao Muhammad Anwer
Hisham Cholakkal
M. Shah
Ming Yang
F. Khan
VLM
18
117
0
25 Jul 2023
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models
Zero-Shot Anomaly Detection with Pre-trained Segmentation Models
Matthew Baugh
James Batten
Johanna P. Müller
Bernhard Kainz
14
6
0
15 Jun 2023
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty
  Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
2nd Place Winning Solution for the CVPR2023 Visual Anomaly and Novelty Detection Challenge: Multimodal Prompting for Data-centric Anomaly Detection
Yunkang Cao
Xiaohao Xu
Chen Sun
Y. Cheng
Liang Gao
Weiming Shen
28
1
0
15 Jun 2023
Referring Camouflaged Object Detection
Referring Camouflaged Object Detection
Xuying Zhang
Bo Yin
Zheng Lin
Qibin Hou
Deng-Ping Fan
Ming-Ming Cheng
32
17
0
13 Jun 2023
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Segment Any Anomaly without Training via Hybrid Prompt Regularization
Yunkang Cao
Xiaohao Xu
Chen Sun
Y. Cheng
Zongwei Du
Liang Gao
Weiming Shen
VLM
31
69
0
18 May 2023
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation
Letian Wu
Wenya Zhang
Tengping Jiang
Wankou Yang
Xin Jin
Wenjun Zeng
VLM
19
4
0
13 Apr 2023
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment
  Anything Model
SAM.MD: Zero-shot medical image segmentation capabilities of the Segment Anything Model
Saikat Roy
Tassilo Wald
Gregor Koehler
Maximilian R. Rokuss
Nico Disch
Julius Holzschuh
David Zimmerer
Klaus H. Maier-Hein
MedIm
VLM
24
93
0
10 Apr 2023
Exploring Vision-Language Models for Imbalanced Learning
Exploring Vision-Language Models for Imbalanced Learning
Yidong Wang
Zhuohao Yu
Jindong Wang
Qiang Heng
Haoxing Chen
Wei Ye
Rui Xie
Xingxu Xie
Shi-Bo Zhang
VLM
29
30
0
04 Apr 2023
Exploring Visual Prompts for Whole Slide Image Classification with
  Multiple Instance Learning
Exploring Visual Prompts for Whole Slide Image Classification with Multiple Instance Learning
Yi-Mou Lin
Zhongchen Zhao
Zhengjie Zhu
Lisheng Wang
Kwang-Ting Cheng
Hao Chen
VLM
10
1
0
23 Mar 2023
Zero-shot Generation of Coherent Storybook from Plain Text Story using
  Diffusion Models
Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models
Hyeonho Jeong
Gihyun Kwon
Jong Chul Ye
24
20
0
08 Feb 2023
SimCon Loss with Multiple Views for Text Supervised Semantic
  Segmentation
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
Yash J. Patel
Yusheng Xie
Yi Zhu
Srikar Appalaraju
R. Manmatha
19
4
0
07 Feb 2023
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu
Yixiao Zhang
Jieneng Chen
Junfei Xiao
Yongyi Lu
Bennett A. Landman
Yixuan Yuan
Alan Yuille
Yucheng Tang
Zongwei Zhou
VLM
MedIm
39
193
0
02 Jan 2023
LidarCLIP or: How I Learned to Talk to Point Clouds
LidarCLIP or: How I Learned to Talk to Point Clouds
Georg Hess
Adam Tonderski
Christoffer Petersson
Kalle AAstrom
Lennart Svensson
DiffM
19
22
0
13 Dec 2022
Shape-Guided Diffusion with Inside-Outside Attention
Shape-Guided Diffusion with Inside-Outside Attention
Dong Huk Park
Grace Luo
C. Toste
S. Azadi
Xihui Liu
M. Karalashvili
Anna Rohrbach
Trevor Darrell
DiffM
32
44
0
01 Dec 2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Raphael Tang
Linqing Liu
Akshat Pandey
Zhiying Jiang
Gefei Yang
K. Kumar
Pontus Stenetorp
Jimmy J. Lin
Ferhan Ture
16
167
0
10 Oct 2022
MaPLe: Multi-modal Prompt Learning
MaPLe: Multi-modal Prompt Learning
Muhammad Uzair Khattak
H. Rasheed
Muhammad Maaz
Salman Khan
F. Khan
VPVLM
VLM
186
530
0
06 Oct 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
322
2,261
0
02 Sep 2021
Few-Shot Segmentation Without Meta-Learning: A Good Transductive
  Inference Is All You Need?
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
Malik Boudiaf
H. Kervadec
Imtiaz Masud Ziko
Pablo Piantanida
Ismail Ben Ayed
Jose Dolz
VLM
169
187
0
11 Dec 2020
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