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. 2006.06882
  4. Cited By
Rethinking Pre-training and Self-training

Rethinking Pre-training and Self-training

11 June 2020
Barret Zoph
Golnaz Ghiasi
Nayeon Lee
Huayu Chen
Hanxiao Liu
E. D. Cubuk
Quoc V. Le
    SSeg
ArXivPDFHTML

Papers citing "Rethinking Pre-training and Self-training"

50 / 137 papers shown
Title
The Dialog Must Go On: Improving Visual Dialog via Generative
  Self-Training
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training
Gi-Cheon Kang
Sungdong Kim
Jin-Hwa Kim
Donghyun Kwak
Byoung-Tak Zhang
29
10
0
25 May 2022
Hierarchical Vectorization for Portrait Images
Hierarchical Vectorization for Portrait Images
Qian Fu
Linlin Liu
Fei Hou
Ying He
3DH
DiffM
30
0
0
24 May 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
196
26
0
23 May 2022
Region-level Contrastive and Consistency Learning for Semi-Supervised
  Semantic Segmentation
Region-level Contrastive and Consistency Learning for Semi-Supervised Semantic Segmentation
Jianrong Zhang
Tianyi Wu
Chuan-Yong Ding
Hongwei Zhao
Guodong Guo
ISeg
32
15
0
28 Apr 2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Philip H. S. Torr
René Ranftl
Stephan R. Richter
15
6
0
18 Apr 2022
Patch-wise Contrastive Style Learning for Instagram Filter Removal
Patch-wise Contrastive Style Learning for Instagram Filter Removal
Furkan Kinli
B. Özcan
Mustafa Furkan Kıraç
14
7
0
15 Apr 2022
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Semi-Supervised Training to Improve Player and Ball Detection in Soccer
Renaud Vandeghen
A. Cioppa
Marc Van Droogenbroeck
50
27
0
14 Apr 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
28
27
0
06 Apr 2022
MultiMAE: Multi-modal Multi-task Masked Autoencoders
MultiMAE: Multi-modal Multi-task Masked Autoencoders
Roman Bachmann
David Mizrahi
Andrei Atanov
Amir Zamir
35
265
0
04 Apr 2022
Proper Reuse of Image Classification Features Improves Object Detection
Proper Reuse of Image Classification Features Improves Object Detection
C. N. Vasconcelos
Vighnesh Birodkar
Vincent Dumoulin
VLM
17
32
0
01 Apr 2022
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised
  Object Detection
PseCo: Pseudo Labeling and Consistency Training for Semi-Supervised Object Detection
Gang Li
Xiang Li
Yujie Wang
Yichao Wu
Ding Liang
Shanshan Zhang
12
91
0
30 Mar 2022
BigDetection: A Large-scale Benchmark for Improved Object Detector
  Pre-training
BigDetection: A Large-scale Benchmark for Improved Object Detector Pre-training
Likun Cai
Zhi-Li Zhang
Yi Zhu
Li Zhang
Mu Li
Xiangyang Xue
VLM
ObjD
40
40
0
24 Mar 2022
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
Revisiting Multi-Scale Feature Fusion for Semantic Segmentation
Tianjian Meng
Golnaz Ghiasi
Reza Mahjorian
Quoc V. Le
Mingxing Tan
SSeg
30
2
0
23 Mar 2022
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and
  Semi-Supervised Semantic Segmentation
Learning Self-Supervised Low-Rank Network for Single-Stage Weakly and Semi-Supervised Semantic Segmentation
Junwen Pan
Pengfei Zhu
Kaihua Zhang
Bing Cao
Yu Wang
Dingwen Zhang
Junwei Han
Q. Hu
18
60
0
19 Mar 2022
Semi-Supervised Learning with Mutual Distillation for Monocular Depth
  Estimation
Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation
Jongbeom Baek
Gyeongnyeon Kim
Seung Wook Kim
FedML
MDE
33
12
0
18 Mar 2022
Bamboo: Building Mega-Scale Vision Dataset Continually with
  Human-Machine Synergy
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine Synergy
Yuanhan Zhang
Qi Sun
Yichun Zhou
Zexin He
Zhen-fei Yin
Kunze Wang
Lu Sheng
Yu Qiao
Jing Shao
Ziwei Liu
ObjD
VLM
29
19
0
15 Mar 2022
Discriminability-Transferability Trade-Off: An Information-Theoretic
  Perspective
Discriminability-Transferability Trade-Off: An Information-Theoretic Perspective
Quan Cui
Bingchen Zhao
Zhao-Min Chen
Borui Zhao
Renjie Song
Jiajun Liang
Boyan Zhou
Osamu Yoshie
24
18
0
08 Mar 2022
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations
  (CGL)
Catch Me if You Can: A Novel Task for Detection of Covert Geo-Locations (CGL)
Binoy Saha
Sukhendu Das
14
1
0
05 Feb 2022
How Low Can We Go? Pixel Annotation for Semantic Segmentation
How Low Can We Go? Pixel Annotation for Semantic Segmentation
Daniel Kigli
Ariel Shamir
S. Avidan
VLM
21
1
0
25 Jan 2022
How does unlabeled data improve generalization in self-training? A
  one-hidden-layer theoretical analysis
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
Hao Wu
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
41
22
0
21 Jan 2022
Gait Recognition Based on Deep Learning: A Survey
Gait Recognition Based on Deep Learning: A Survey
Claudio Filipi Gonçalves dos Santos
Diego de Souza Oliveira
Leandro A. Passos
Rafael Gonçalves Pires
Daniel Felipe Silva Santos
...
Thierry Pinheiro Moreira
Marcos Cleison S. Santana
Mateus Roder
Jo Paulo Papa
Danilo Colombo
CVBM
16
70
0
10 Jan 2022
BARACK: Partially Supervised Group Robustness With Guarantees
BARACK: Partially Supervised Group Robustness With Guarantees
N. Sohoni
Maziar Sanjabi
Nicolas Ballas
Aditya Grover
Shaoliang Nie
Hamed Firooz
Christopher Ré
OOD
20
24
0
31 Dec 2021
A Simple Single-Scale Vision Transformer for Object Localization and
  Instance Segmentation
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
Wuyang Chen
Xianzhi Du
Fan Yang
Lucas Beyer
Xiaohua Zhai
...
Huizhong Chen
Jing Li
Xiaodan Song
Zhangyang Wang
Denny Zhou
ViT
29
20
0
17 Dec 2021
RegionCLIP: Region-based Language-Image Pretraining
RegionCLIP: Region-based Language-Image Pretraining
Yiwu Zhong
Jianwei Yang
Pengchuan Zhang
Chunyuan Li
Noel Codella
...
Luowei Zhou
Xiyang Dai
Lu Yuan
Yin Li
Jianfeng Gao
VLM
CLIP
40
555
0
16 Dec 2021
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Label, Verify, Correct: A Simple Few Shot Object Detection Method
Prannay Kaul
Weidi Xie
Andrew Zisserman
ObjD
17
81
0
10 Dec 2021
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for
  EM Connectomics
PyTorch Connectomics: A Scalable and Flexible Segmentation Framework for EM Connectomics
Zudi Lin
D. Wei
J. Lichtman
Hanspeter Pfister
24
22
0
10 Dec 2021
Grounded Language-Image Pre-training
Grounded Language-Image Pre-training
Liunian Harold Li
Pengchuan Zhang
Haotian Zhang
Jianwei Yang
Chunyuan Li
...
Lu Yuan
Lei Zhang
Jenq-Neng Hwang
Kai-Wei Chang
Jianfeng Gao
ObjD
VLM
31
1,018
0
07 Dec 2021
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via
  Regularized Domain Concatenation
ConDA: Unsupervised Domain Adaptation for LiDAR Segmentation via Regularized Domain Concatenation
Lingdong Kong
N. Quader
Venice Erin Liong
24
48
0
30 Nov 2021
Open-Vocabulary Instance Segmentation via Robust Cross-Modal
  Pseudo-Labeling
Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling
Dat T. Huynh
Jason Kuen
Zhe-nan Lin
Jiuxiang Gu
Ehsan Elhamifar
ISeg
VLM
24
83
0
24 Nov 2021
Semi-Supervised Learning with Taxonomic Labels
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
41
10
0
23 Nov 2021
Florence: A New Foundation Model for Computer Vision
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
29
879
0
22 Nov 2021
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled
  Samples
DP-SSL: Towards Robust Semi-supervised Learning with A Few Labeled Samples
Yi Xu
Jiandong Ding
Lu Zhang
Shuigeng Zhou
39
32
0
26 Oct 2021
Unsupervised Finetuning
Unsupervised Finetuning
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
30
8
0
18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
273
0
18 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
88
27
0
06 Oct 2021
Using Psuedolabels for training Sentiment Classifiers makes the model
  generalize better across datasets
Using Psuedolabels for training Sentiment Classifiers makes the model generalize better across datasets
N. Reddy
Muktabh Mayank Srivastava
19
0
0
05 Oct 2021
Exploring the Limits of Large Scale Pre-training
Exploring the Limits of Large Scale Pre-training
Samira Abnar
Mostafa Dehghani
Behnam Neyshabur
Hanie Sedghi
AI4CE
60
114
0
05 Oct 2021
A Study of the Generalizability of Self-Supervised Representations
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
76
26
0
19 Sep 2021
Task-adaptive Pre-training and Self-training are Complementary for
  Natural Language Understanding
Task-adaptive Pre-training and Self-training are Complementary for Natural Language Understanding
Shiyang Li
Semih Yavuz
Wenhu Chen
Xifeng Yan
22
12
0
14 Sep 2021
Learning from Multiple Noisy Augmented Data Sets for Better
  Cross-Lingual Spoken Language Understanding
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding
Yingmei Guo
Linjun Shou
J. Pei
Ming Gong
Mingxing Xu
Zhiyong Wu
Daxin Jiang
24
5
0
03 Sep 2021
Learning 3D Mineral Prospectivity from 3D Geological Models Using
  Convolutional Neural Networks: Application to a Structure-controlled
  Hydrothermal Gold Deposit
Learning 3D Mineral Prospectivity from 3D Geological Models Using Convolutional Neural Networks: Application to a Structure-controlled Hydrothermal Gold Deposit
Hao Deng
Yang Zheng
Jin Chen
Shuyang Yu
K. Xiao
Xiancheng Mao
12
44
0
02 Sep 2021
Benchmarking the Robustness of Instance Segmentation Models
Benchmarking the Robustness of Instance Segmentation Models
Said Fahri Altindis
Yusuf Dalva
Hamza Pehlivan
Aysegül Dündar
VLM
OOD
29
12
0
02 Sep 2021
Self-training Improves Pre-training for Few-shot Learning in
  Task-oriented Dialog Systems
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems
Fei Mi
Wanhao Zhou
Feng Cai
Lingjing Kong
Minlie Huang
Boi Faltings
27
32
0
28 Aug 2021
LocTex: Learning Data-Efficient Visual Representations from Localized
  Textual Supervision
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu
Simon Stent
Jie Li
John Gideon
Song Han
VLM
25
10
0
26 Aug 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
24
60
0
25 Aug 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
24
100
0
25 Aug 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
40
12
0
25 Aug 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-xiong Wang
38
167
0
20 Aug 2021
Multi-Object Tracking with Hallucinated and Unlabeled Videos
Multi-Object Tracking with Hallucinated and Unlabeled Videos
Daniel McKee
Bing Shuai
Andrew G. Berneshawi
Manchen Wang
Davide Modolo
Svetlana Lazebnik
Joseph Tighe
VOT
19
7
0
19 Aug 2021
Enhancing MR Image Segmentation with Realistic Adversarial Data
  Augmentation
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation
C. L. P. Chen
C. Qin
Cheng Ouyang
Zeju Li
Shuo Wang
Huaqi Qiu
Liang Chen
G. Tarroni
Wenjia Bai
Daniel Rueckert
GAN
MedIm
62
40
0
07 Aug 2021
Previous
123
Next