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One-Shot Instance Segmentation

One-Shot Instance Segmentation

28 November 2018
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
    ISeg
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Papers citing "One-Shot Instance Segmentation"

18 / 18 papers shown
Title
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments
BIV-Priv-Seg: Locating Private Content in Images Taken by People With Visual Impairments
Yu-Yun Tseng
Tanusree Sharma
Lotus Zhang
Abigale Stangl
Leah Findlater
Yang Wang
Danna Gurari
64
0
0
25 Jul 2024
Deep ContourFlow: Advancing Active Contours with Deep Learning
Deep ContourFlow: Advancing Active Contours with Deep Learning
Antoine Habis
V. Meas-Yedid
Elsa D. Angelini
Jean-Christophe Olivo-Marin
30
0
0
15 Jul 2024
UniFS: Universal Few-shot Instance Perception with Point Representations
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin
Ruijie Yao
Lumin Xu
Wentao Liu
Chao Qian
Ji Wu
Ping Luo
48
2
0
30 Apr 2024
Detect Everything with Few Examples
Detect Everything with Few Examples
Xinyu Zhang
Yuting Wang
Abdeslam Boularias
ObjD
VLM
24
13
0
22 Sep 2023
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model
  for Few-Shot Instance Segmentation
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Minh-Quan Le
Tam V. Nguyen
Trung-Nghia Le
Thanh-Toan Do
Minh N. Do
M. Tran
DiffM
45
13
0
09 Mar 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
ENInst: Enhancing Weakly-supervised Low-shot Instance Segmentation
Moon Ye-Bin
D. Choi
Y. Kwon
Junsik Kim
Tae-Hyun Oh
ISeg
25
6
0
20 Feb 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
29
17
0
03 Jan 2023
One-Shot Transfer of Affordance Regions? AffCorrs!
One-Shot Transfer of Affordance Regions? AffCorrs!
Denis Hadjivelichkov
Sicelukwanda Zwane
M. Deisenroth
Lourdes Agapito
Dimitrios Kanoulas
35
34
0
15 Sep 2022
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual
  Impairments
VizWiz-FewShot: Locating Objects in Images Taken by People With Visual Impairments
Yu-Yun Tseng
Alexander Bell
Danna Gurari
19
8
0
24 Jul 2022
Learning to Count Anything: Reference-less Class-agnostic Counting with
  Weak Supervision
Learning to Count Anything: Reference-less Class-agnostic Counting with Weak Supervision
Michael A. Hobley
V. Prisacariu
39
36
0
20 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
36
342
0
13 May 2022
Simple Open-Vocabulary Object Detection with Vision Transformers
Simple Open-Vocabulary Object Detection with Vision Transformers
Matthias Minderer
A. Gritsenko
Austin Stone
Maxim Neumann
Dirk Weissenborn
...
Zhuoran Shen
Xiao Wang
Xiaohua Zhai
Thomas Kipf
N. Houlsby
ObjD
CLIP
VLM
ViT
OCL
8
306
0
12 May 2022
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
OSOP: A Multi-Stage One Shot Object Pose Estimation Framework
I. Shugurov
Fu Li
Benjamin Busam
Slobodan Ilic
21
84
0
29 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
25
156
0
07 Mar 2022
Force-and-moment-based Model Predictive Control for Achieving Highly
  Dynamic Locomotion on Bipedal Robots
Force-and-moment-based Model Predictive Control for Achieving Highly Dynamic Locomotion on Bipedal Robots
Junheng Li
G. Alcan
8
20
0
31 Mar 2021
FGN: Fully Guided Network for Few-Shot Instance Segmentation
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan
Jin-Gang Yu
Zhihao Liang
Jiarong Ou
Changxin Gao
Guisong Xia
Yuanqing Li
16
69
0
31 Mar 2020
Delta-encoder: an effective sample synthesis method for few-shot object
  recognition
Delta-encoder: an effective sample synthesis method for few-shot object recognition
Eli Schwartz
Leonid Karlinsky
J. Shtok
Sivan Harary
Mattias Marder
Rogerio Feris
Abhishek Kumar
Raja Giryes
A. Bronstein
181
351
0
12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
281
11,677
0
09 Mar 2017
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