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. 1905.09872
  4. Cited By
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training

SelectNet: Learning to Sample from the Wild for Imbalanced Data Training

23 May 2019
Yunru Liu
Tingran Gao
Haizhao Yang
ArXivPDFHTML

Papers citing "SelectNet: Learning to Sample from the Wild for Imbalanced Data Training"

5 / 5 papers shown
Title
Adaptively Point-weighting Curriculum Learning
Adaptively Point-weighting Curriculum Learning
Wensheng Li
Hao Wang
Ruifeng Zhou
Hanting Guan
Chao Zhang
Dacheng Tao
ODL
48
0
0
03 May 2025
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set
  Unlabeled Data
OpenCoS: Contrastive Semi-supervised Learning for Handling Open-set Unlabeled Data
Jongjin Park
Sukmin Yun
Jongheon Jeong
Jinwoo Shin
36
29
0
29 Jun 2021
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced
  Semi-Supervised Learning
DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning
Youngtaek Oh
Dong-Jin Kim
In So Kweon
44
64
0
10 Jun 2021
Distribution Aligning Refinery of Pseudo-label for Imbalanced
  Semi-supervised Learning
Distribution Aligning Refinery of Pseudo-label for Imbalanced Semi-supervised Learning
Jaehyung Kim
Youngbum Hur
Sejun Park
Eunho Yang
Sung Ju Hwang
Jinwoo Shin
19
160
0
17 Jul 2020
Imbalance Problems in Object Detection: A Review
Imbalance Problems in Object Detection: A Review
Kemal Oksuz
Baris Can Cam
Sinan Kalkan
Emre Akbas
ObjD
36
458
0
31 Aug 2019
1