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. 1612.02559
  4. Cited By
AGA: Attribute Guided Augmentation

AGA: Attribute Guided Augmentation

8 December 2016
Mandar Dixit
Roland Kwitt
Marc Niethammer
Nuno Vasconcelos
    GAN
ArXivPDFHTML

Papers citing "AGA: Attribute Guided Augmentation"

34 / 34 papers shown
Title
Limitations of Face Image Generation
Limitations of Face Image Generation
Harrison Rosenberg
Shimaa Ahmed
Guruprasad V Ramesh
Ramya Korlakai Vinayak
Kassem Fawaz
36
1
0
13 Sep 2023
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and
  Feature Mapping
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping
Srikanth Malla
Yi-Ting Chen
3DPC
27
1
0
28 Feb 2023
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta
Y. Hong
Li Niu
Jianfu Zhang
Liqing Zhang
GAN
24
34
0
21 Jul 2022
Shaping Visual Representations with Attributes for Few-Shot Recognition
Shaping Visual Representations with Attributes for Few-Shot Recognition
Haoxing Chen
Huaxiong Li
Yaohui Li
Chunlin Chen
34
7
0
13 Dec 2021
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face
  Learning
Multi-Agent Semi-Siamese Training for Long-tail and Shallow Face Learning
Hailin Shi
Dan Zeng
Yichun Tai
Hang Du
Yibo Hu
Zicheng Zhang
Tao Mei
CVBM
36
4
0
10 May 2021
Enhancing Fine-Grained Classification for Low Resolution Images
Enhancing Fine-Grained Classification for Low Resolution Images
Maneet Singh
Shruti Nagpal
Mayank Vatsa
Richa Singh
24
5
0
01 May 2021
I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion
Ivona Tautkute
Tomasz Trzciñski
31
4
0
17 Feb 2021
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image
  Recognition
Learning to Focus: Cascaded Feature Matching Network for Few-shot Image Recognition
Mengting Chen
Xinggang Wang
Heng Luo
Yifeng Geng
Wenyu Liu
ObjD
61
10
0
13 Jan 2021
Cross-Domain Few-Shot Learning by Representation Fusion
Cross-Domain Few-Shot Learning by Representation Fusion
Thomas Adler
Johannes Brandstetter
Michael Widrich
Andreas Mayr
David P. Kreil
Michael K Kopp
G. Klambauer
Sepp Hochreiter
OOD
25
45
0
13 Oct 2020
A Survey on Machine Learning from Few Samples
A Survey on Machine Learning from Few Samples
Jiang Lu
Pinghua Gong
Jieping Ye
Jianwei Zhang
Changshu Zhang
14
47
0
06 Sep 2020
Few-Shot Learning with Intra-Class Knowledge Transfer
Few-Shot Learning with Intra-Class Knowledge Transfer
Vivek Roy
Yan Xu
Yu-xiong Wang
Kris M. Kitani
Ruslan Salakhutdinov
M. Hebert
VLM
24
3
0
22 Aug 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
29
22
0
18 Aug 2020
Spherical Feature Transform for Deep Metric Learning
Spherical Feature Transform for Deep Metric Learning
Yuke Zhu
Yan Bai
Yichen Wei
17
5
0
04 Aug 2020
Few-shot Object Detection on Remote Sensing Images
Few-shot Object Detection on Remote Sensing Images
J. Deng
Xiang Li
Yi Fang
ObjD
13
131
0
14 Jun 2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
Luming Tang
Davis Wertheimer
B. Hariharan
22
49
0
01 Apr 2020
One-Shot Domain Adaptation For Face Generation
One-Shot Domain Adaptation For Face Generation
Chao Yang
Ser-Nam Lim
OOD
CVBM
29
36
0
28 Mar 2020
Diversity Transfer Network for Few-Shot Learning
Diversity Transfer Network for Few-Shot Learning
Mengting Chen
Yuxin Fang
Xinggang Wang
Heng Luo
Yifeng Geng
Xinyu Zhang
Chang Huang
Wenyu Liu
Bo Wang
15
69
0
31 Dec 2019
Few-Shot Unsupervised Image-to-Image Translation
Few-Shot Unsupervised Image-to-Image Translation
Ming-Yu Liu
Xun Huang
Arun Mallya
Tero Karras
Timo Aila
J. Lehtinen
Jan Kautz
11
607
0
05 May 2019
Unsupervised Feature Learning for Environmental Sound Classification
  Using Weighted Cycle-Consistent Generative Adversarial Network
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
22
43
0
08 Apr 2019
Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
Dual Variational Generation for Low-Shot Heterogeneous Face Recognition
Chaoyou Fu
Xiang Wu
Yibo Hu
Huaibo Huang
Ran He
CVBM
30
73
0
25 Mar 2019
Thinking Outside the Pool: Active Training Image Creation for Relative
  Attributes
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes
Aron Yu
Kristen Grauman
20
23
0
08 Jan 2019
Sequential Attention GAN for Interactive Image Editing
Sequential Attention GAN for Interactive Image Editing
Yu Cheng
Zhe Gan
Yitong Li
Jingjing Liu
Jianfeng Gao
27
96
0
20 Dec 2018
Pixel Level Data Augmentation for Semantic Image Segmentation using
  Generative Adversarial Networks
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks
Shuangting Liu
Jiaqi Zhang
Yuxin Chen
Yifan Liu
Zengchang Qin
T. Wan
GAN
14
46
0
01 Nov 2018
Saliency for Fine-grained Object Recognition in Domains with Scarce
  Training Data
Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data
Carola Figueroa Flores
Abel Gonzalez-Garcia
Joost van de Weijer
Bogdan Raducanu
19
50
0
01 Aug 2018
The Neural Painter: Multi-Turn Image Generation
The Neural Painter: Multi-Turn Image Generation
Ryan Y. Benmalek
Claire Cardie
Serge J. Belongie
Xiaodong He
Jianfeng Gao
MLLM
24
7
0
16 Jun 2018
Multi-level Semantic Feature Augmentation for One-shot Learning
Multi-level Semantic Feature Augmentation for One-shot Learning
Z. Chen
Yanwei Fu
Yinda Zhang
Yu-Gang Jiang
Xiangyang Xue
Leonid Sigal
18
231
0
15 Apr 2018
Parallel Grid Pooling for Data Augmentation
Parallel Grid Pooling for Data Augmentation
Akito Takeki
Daiki Ikami
Go Irie
Kiyoharu Aizawa
8
7
0
30 Mar 2018
Attributes as Operators: Factorizing Unseen Attribute-Object
  Compositions
Attributes as Operators: Factorizing Unseen Attribute-Object Compositions
Tushar Nagarajan
Kristen Grauman
OCL
CoGe
19
59
0
27 Mar 2018
Feature Transfer Learning for Deep Face Recognition with
  Under-Represented Data
Feature Transfer Learning for Deep Face Recognition with Under-Represented Data
Xi Yin
Xiang Yu
Kihyuk Sohn
Xiaoming Liu
Manmohan Chandraker
CVBM
22
35
0
23 Mar 2018
Low-Shot Learning from Imaginary Data
Low-Shot Learning from Imaginary Data
Yu-xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
31
676
0
16 Jan 2018
Feature Space Transfer for Data Augmentation
Feature Space Transfer for Data Augmentation
Bo Liu
Xudong Wang
Mandar Dixit
Roland Kwitt
Nuno Vasconcelos
CVBM
11
93
0
13 Jan 2018
Data Augmentation in Emotion Classification Using Generative Adversarial
  Networks
Data Augmentation in Emotion Classification Using Generative Adversarial Networks
Xinyue Zhu
Yifan Liu
Zengchang Qin
Jiahong Li
GAN
16
121
0
02 Nov 2017
A data augmentation methodology for training machine/deep learning gait
  recognition algorithms
A data augmentation methodology for training machine/deep learning gait recognition algorithms
Christoforos C. Charalambous
Anil A. Bharath
CVBM
34
43
0
24 Oct 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan
Ross B. Girshick
VLM
25
49
0
09 Jun 2016
1