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. 1801.04356
  4. Cited By
Feature Space Transfer for Data Augmentation

Feature Space Transfer for Data Augmentation

13 January 2018
Bo Liu
Xudong Wang
Mandar Dixit
Roland Kwitt
Nuno Vasconcelos
    CVBM
ArXivPDFHTML

Papers citing "Feature Space Transfer for Data Augmentation"

32 / 32 papers shown
Title
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental
  Learning
CALA: A Class-Aware Logit Adapter for Few-Shot Class-Incremental Learning
Chengyan Liu
Linglan Zhao
Fan Lyu
Kaile Du
Fuyuan Hu
Tao Zhou
CLL
84
0
0
17 Dec 2024
Augmenting Safety-Critical Driving Scenarios while Preserving Similarity
  to Expert Trajectories
Augmenting Safety-Critical Driving Scenarios while Preserving Similarity to Expert Trajectories
Hamidreza Mirkhani
Behzad Khamidehi
Kasra Rezaee
48
1
0
20 Apr 2024
AI Competitions and Benchmarks: Dataset Development
AI Competitions and Benchmarks: Dataset Development
Romain Egele
Julio C. S. Jacques Junior
Jan N. van Rijn
Isabelle M Guyon
Xavier Baró
Albert Clapés
Prasanna Balaprakash
Sergio Escalera
T. Moeslund
Jun Wan
42
0
0
15 Apr 2024
TablEye: Seeing small Tables through the Lens of Images
TablEye: Seeing small Tables through the Lens of Images
Seungeun Lee
Sang-Chul Lee
LMTD
26
1
0
04 Jul 2023
A Survey on Few-Shot Class-Incremental Learning
A Survey on Few-Shot Class-Incremental Learning
Song Tian
Lusi Li
Weijun Li
Hang Ran
X. Ning
Prayag Tiwari
CLL
26
101
0
17 Apr 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Gang Liu
Eric Inae
Tong Zhao
Jiaxin Xu
Te Luo
Meng Jiang
DiffM
31
23
0
17 Mar 2023
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level
  Unlabeled Scenes
UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes
Sunwook Hwang
Youngseok Kim
Seongwon Kim
S. Bahk
Hyung-Sin Kim
3DPC
36
3
0
22 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition
Extending Temporal Data Augmentation for Video Action Recognition
Artjoms Gorpincenko
Michal Mackiewicz
ViT
29
4
0
09 Nov 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Cross-Domain Few-Shot Classification via Inter-Source Stylization
Huali Xu
Shuaifeng Zhi
Li Liu
40
4
0
17 Aug 2022
Metric Based Few-Shot Graph Classification
Metric Based Few-Shot Graph Classification
Donato Crisostomi
Simone Antonelli
Valentino Maiorca
Luca Moschella
R. Marin
Emanuele Rodolà
37
5
0
08 Jun 2022
Micro-Expression Recognition Based on Attribute Information Embedding
  and Cross-modal Contrastive Learning
Micro-Expression Recognition Based on Attribute Information Embedding and Cross-modal Contrastive Learning
Yanxing Song
Jianzong Wang
Tianbo Wu
Zhangcheng Huang
Jing Xiao
CVBM
37
2
0
29 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
50
344
0
13 May 2022
Reprint: a randomized extrapolation based on principal components for
  data augmentation
Reprint: a randomized extrapolation based on principal components for data augmentation
Jiale Wei
Qiyuan Chen
Pai Peng
Benjamin Guedj
Le Li
14
2
0
26 Apr 2022
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection
  from a Few Samples
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples
Yuying Ge
Ruimao Zhang
Ping Luo
20
7
0
06 Dec 2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed
  Recognition
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition
Bo Liu
Haoxiang Li
Hao Kang
G. Hua
Nuno Vasconcelos
CVBM
23
38
0
01 May 2021
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed
  Recognition
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition
Bo Liu
Haoxiang Li
Hao Kang
G. Hua
Nuno Vasconcelos
17
13
0
01 May 2021
Data augmentation by morphological mixup for solving Raven's Progressive
  Matrices
Data augmentation by morphological mixup for solving Raven's Progressive Matrices
Wentao He
Jianfeng Ren
Ruibin Bai
21
2
0
09 Mar 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
Data Augmentation via Structured Adversarial Perturbations
Data Augmentation via Structured Adversarial Perturbations
Calvin Luo
H. Mobahi
Samy Bengio
AAML
19
5
0
05 Nov 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
36
380
0
05 Oct 2020
Spherical Feature Transform for Deep Metric Learning
Spherical Feature Transform for Deep Metric Learning
Yuke Zhu
Yan Bai
Yichen Wei
25
5
0
04 Aug 2020
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot
  Classification
Expert Training: Task Hardness Aware Meta-Learning for Few-Shot Classification
Yucan Zhou
Yu Wang
Jianfei Cai
Yu Zhou
Q. Hu
Weiping Wang
VLM
13
12
0
13 Jul 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud
  Classification
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
Ruihui Li
Xianzhi Li
Pheng-Ann Heng
Chi-Wing Fu
3DPC
22
145
0
25 Feb 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
20
69
0
31 Dec 2019
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero
  and Few Shot Learning
AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning
Sadaf Gull
F. Minhas
29
10
0
28 Oct 2019
Multiple Generative Models Ensemble for Knowledge-Driven Proactive
  Human-Computer Dialogue Agent
Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent
Zelin Dai
Weitang Liu
Minghao Zhu
13
1
0
08 Jul 2019
A Survey on Face Data Augmentation
A Survey on Face Data Augmentation
Xiang Wang
Kai Wang
Kai Wang
CVBM
20
130
0
26 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Generalizing from a Few Examples: A Survey on Few-Shot Learning
Yaqing Wang
Quanming Yao
James T. Kwok
L. Ni
39
1,793
0
10 Apr 2019
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
21
50
0
01 Aug 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
23
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
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
389
11,700
0
09 Mar 2017
1