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. 1909.13140
  4. Cited By
Feature Weighting and Boosting for Few-Shot Segmentation

Feature Weighting and Boosting for Few-Shot Segmentation

28 September 2019
Khoi Duc Minh Nguyen
S. Todorovic
ArXivPDFHTML

Papers citing "Feature Weighting and Boosting for Few-Shot Segmentation"

30 / 180 papers shown
Title
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
23
288
0
04 Apr 2021
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
16
20
0
31 Mar 2021
Deep Gaussian Processes for Few-Shot Segmentation
Deep Gaussian Processes for Few-Shot Segmentation
Joakim Johnander
Johan Edstedt
Martin Danelljan
M. Felsberg
F. Khan
VLM
12
2
0
30 Mar 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation
Bingfeng Zhang
Jimin Xiao
Terry Qin
11
162
0
30 Mar 2021
Mining Latent Classes for Few-shot Segmentation
Mining Latent Classes for Few-shot Segmentation
Lihe Yang
Wei Zhuo
Lei Qi
Yinghuan Shi
Yang Gao
30
126
0
29 Mar 2021
Semantically Meaningful Class Prototype Learning for One-Shot Image
  Semantic Segmentation
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation
Tao Chen
G. Xie
Yazhou Yao
Qiong Wang
Fumin Shen
Zhenmin Tang
Jian Andrew Zhang
VLM
19
44
0
22 Feb 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
174
187
0
11 Dec 2020
Prototype-based Incremental Few-Shot Semantic Segmentation
Prototype-based Incremental Few-Shot Semantic Segmentation
Fabio Cermelli
Massimiliano Mancini
Yongqin Xian
Zeynep Akata
Barbara Caputo
VLM
CLL
22
24
0
30 Nov 2020
BiOpt: Bi-Level Optimization for Few-Shot Segmentation
BiOpt: Bi-Level Optimization for Few-Shot Segmentation
Jinlu Liu
Liang Song
Yongqiang Qin
VLM
24
0
0
23 Nov 2020
Directed Variational Cross-encoder Network for Few-shot Multi-image
  Co-segmentation
Directed Variational Cross-encoder Network for Few-shot Multi-image Co-segmentation
Sayan Banerjee
S. Bhat
S. Chaudhuri
R. Velmurugan
6
1
0
17 Oct 2020
Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation
Zhuotao Tian
Xin Lai
Li Jiang
Shu Liu
Michelle Shu
Hengshuang Zhao
Jiaya Jia
VLM
22
80
0
11 Oct 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
21
22
0
18 Aug 2020
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in
  One-Shot Segmentation
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
Xianghui Yang
Bairun Wang
Kaige Chen
Xinchi Zhou
Shuai Yi
Wanli Ouyang
Luping Zhou
6
48
0
14 Aug 2020
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Prior Guided Feature Enrichment Network for Few-Shot Segmentation
Zhuotao Tian
Hengshuang Zhao
Michelle Shu
Zhicheng Yang
Ruiyu Li
Jiaya Jia
17
423
0
04 Aug 2020
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Meta-DRN: Meta-Learning for 1-Shot Image Segmentation
Atmadeep Banerjee
SSeg
VLM
8
5
0
01 Aug 2020
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples
  Through Normal Background Regularization and Crop-and-Paste Operation
Few-Shot Defect Segmentation Leveraging Abundant Normal Training Samples Through Normal Background Regularization and Crop-and-Paste Operation
Dongyun Lin
Yanpeng Cao
Wenbin Zhu
Yiqun Li
UQCV
11
6
0
18 Jul 2020
Part-aware Prototype Network for Few-shot Semantic Segmentation
Part-aware Prototype Network for Few-shot Semantic Segmentation
Yongfei Liu
Xiangyi Zhang
Songyang Zhang
Xuming He
6
317
0
13 Jul 2020
Few-Shot Semantic Segmentation Augmented with Image-Level Weak
  Annotations
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations
Shuo Lei
Xuchao Zhang
Jianfeng He
Fanglan Chen
Chang-Tien Lu
VLM
15
2
0
03 Jul 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated
  Image Segmentation
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation
Ali Hatamizadeh
SSeg
21
3
0
23 Jun 2020
Few-shot 3D Point Cloud Semantic Segmentation
Few-shot 3D Point Cloud Semantic Segmentation
Na Zhao
Tat-Seng Chua
Gim Hee Lee
3DPC
16
105
0
22 Jun 2020
SimPropNet: Improved Similarity Propagation for Few-shot Image
  Segmentation
SimPropNet: Improved Similarity Propagation for Few-shot Image Segmentation
Siddhartha Gairola
Mayur Hemani
Ayush Chopra
Balaji Krishnamurthy
11
54
0
30 Apr 2020
Self-Supervised Tuning for Few-Shot Segmentation
Self-Supervised Tuning for Few-Shot Segmentation
Kai Zhu
Wei Zhai
Zhengjun Zha
Yang Cao
6
28
0
12 Apr 2020
Objectness-Aware Few-Shot Semantic Segmentation
Objectness-Aware Few-Shot Semantic Segmentation
Yinan Zhao
Brian L. Price
Scott D. Cohen
Danna Gurari
VLM
11
1
0
06 Apr 2020
Semi-supervised few-shot learning for medical image segmentation
Semi-supervised few-shot learning for medical image segmentation
A. Fayjie
Reza Azad
M. Pedersoli
C. Kauffmann
Ismail Ben Ayed
Jose Dolz
8
63
0
18 Mar 2020
On the Texture Bias for Few-Shot CNN Segmentation
On the Texture Bias for Few-Shot CNN Segmentation
Reza Azad
A. Fayjie
C. Kauffmann
Ismail Ben Ayed
M. Pedersoli
Jose Dolz
SSeg
20
70
0
09 Mar 2020
Prototype Refinement Network for Few-Shot Segmentation
Prototype Refinement Network for Few-Shot Segmentation
Jinlu Liu
Yongqiang Qin
SSeg
6
30
0
10 Feb 2020
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled
  Images
Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images
Zhaohui Yang
Miaojing Shi
Chao Xu
V. Ferrari
Yannis Avrithis
WSOD
11
10
0
01 Dec 2019
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
186
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
320
11,681
0
09 Mar 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
Previous
1234