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. 2203.01522
  4. Cited By
BatchFormer: Learning to Explore Sample Relationships for Robust
  Representation Learning

BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning

3 March 2022
Zhi Hou
B. Yu
Dacheng Tao
    ViT
ArXivPDFHTML

Papers citing "BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning"

14 / 14 papers shown
Title
Generalizable autoregressive modeling of time series through functional
  narratives
Generalizable autoregressive modeling of time series through functional narratives
Ran Liu
Wenrui Ma
Ellen L. Zippi
Hadi Pouransari
Jingyun Xiao
...
Behrooz Mahasseni
Juri Minxha
Erdrin Azemi
Eva L. Dyer
Ali Moin
AI4TS
32
1
0
10 Oct 2024
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen
  Classification from Microscopic Images
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images
Nam Cao
O. Saukh
21
2
0
18 Nov 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification
Feihong He
Gang Li
Lingyu Si
VLM
ViT
52
1
0
05 Oct 2023
LatentDR: Improving Model Generalization Through Sample-Aware Latent
  Degradation and Restoration
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration
Ran Liu
Sahil Khose
Jingyun Xiao
Lakshmi Sathidevi
Keerthan Ramnath
Z. Kira
Eva L. Dyer
34
3
0
28 Aug 2023
Learning Imbalanced Data with Vision Transformers
Learning Imbalanced Data with Vision Transformers
Zhengzhuo Xu
R. Liu
Shuo Yang
Zenghao Chai
Chun Yuan
35
32
0
05 Dec 2022
BatchFormerV2: Exploring Sample Relationships for Dense Representation
  Learning
BatchFormerV2: Exploring Sample Relationships for Dense Representation Learning
Zhi Hou
Baosheng Yu
Chaoyue Wang
Yibing Zhan
Dacheng Tao
ViT
20
11
0
04 Apr 2022
SWAD: Domain Generalization by Seeking Flat Minima
SWAD: Domain Generalization by Seeking Flat Minima
Junbum Cha
Sanghyuk Chun
Kyungjae Lee
Han-Cheol Cho
Seunghyun Park
Yunsung Lee
Sungrae Park
MoMe
216
423
0
17 Feb 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
231
968
0
13 Dec 2020
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Balanced Meta-Softmax for Long-Tailed Visual Recognition
Jiawei Ren
Cunjun Yu
Shunan Sheng
Xiao Ma
Haiyu Zhao
Shuai Yi
Hongsheng Li
170
549
0
21 Jul 2020
Equalization Loss for Long-Tailed Object Recognition
Equalization Loss for Long-Tailed Object Recognition
Jingru Tan
Changbao Wang
Buyu Li
Quanquan Li
Wanli Ouyang
Changqing Yin
Junjie Yan
241
457
0
11 Mar 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,369
0
09 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx)
Out-of-Distribution Generalization via Risk Extrapolation (REx)
David M. Krueger
Ethan Caballero
J. Jacobsen
Amy Zhang
Jonathan Binas
Dinghuai Zhang
Rémi Le Priol
Aaron Courville
OOD
215
901
0
02 Mar 2020
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
247
782
0
05 Dec 2019
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
629
0
17 Oct 2019
1