Rethinking Pre-training and Self-training

11 June 2020

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

37 / 137 papers shown

Title
Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation Ruifei He Jihan Yang Xiaojuan Qi 13 115 0 23 Jul 2021
Semi-supervised Semantic Segmentation with Directional Context-aware Consistency Xin Lai Zhuotao Tian Li Jiang Shu-Lin Liu Hengshuang Zhao Liwei Wang Jiaya Jia 50 206 0 27 Jun 2021
Humble Teachers Teach Better Students for Semi-Supervised Object Detection Yihe Tang Weifeng Chen Yijun Luo Yuting Zhang 36 177 0 19 Jun 2021
End-to-End Semi-Supervised Object Detection with Soft Teacher Mengde Xu Zheng-Wei Zhang Han Hu Jianfeng Wang Lijuan Wang Fangyun Wei X. Bai Zicheng Liu 28 489 0 16 Jun 2021
Pre-Trained Models: Past, Present and Future Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu ... Jie Tang Ji-Rong Wen Jinhui Yuan Wayne Xin Zhao Jun Zhu AIFin MQ AI4MH 40 815 0 14 Jun 2021
Gradual Domain Adaptation in the Wild:When Intermediate Distributions are Absent Samira Abnar Rianne van den Berg Golnaz Ghiasi Mostafa Dehghani Nal Kalchbrenner Hanie Sedghi OOD CLL TTA 23 21 0 10 Jun 2021
Knowledge distillation: A good teacher is patient and consistent Lucas Beyer Xiaohua Zhai Amelie Royer L. Markeeva Rohan Anil Alexander Kolesnikov VLM 35 287 0 09 Jun 2021
Rethinking Training from Scratch for Object Detection Yang Li Hong Zhang Yu Zhang VLM OnRL ObjD 25 5 0 06 Jun 2021
Robust Mutual Learning for Semi-supervised Semantic Segmentation Pan Zhang Bo Zhang Ting Zhang Dong Chen Fang Wen 23 17 0 01 Jun 2021
Empirical Analysis of Image Caption Generation using Deep Learning Aditya R. Bhattacharya Eshwar Shamanna Girishekar Padmakar Anil Deshpande 21 1 0 14 May 2021
Improving Cross-Lingual Reading Comprehension with Self-Training Wei Huang Chien-yu Huang Hung-yi Lee LRM 36 1 0 08 May 2021
Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples Mahmoud Assran Mathilde Caron Ishan Misra Piotr Bojanowski Armand Joulin Nicolas Ballas Michael G. Rabbat SSL 29 147 0 28 Apr 2021
Large-Scale Self- and Semi-Supervised Learning for Speech Translation Changhan Wang Anne Wu J. Pino Alexei Baevski Michael Auli Alexis Conneau SSL 31 44 0 14 Apr 2021
Pointly-Supervised Instance Segmentation Bowen Cheng Omkar M. Parkhi A. Kirillov ISeg 50 116 0 13 Apr 2021
Self-Training with Weak Supervision Giannis Karamanolakis Subhabrata Mukherjee Guoqing Zheng Ahmed Hassan Awadallah NoLa 11 86 0 12 Apr 2021
A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification Jong-Chyi Su Zezhou Cheng Subhransu Maji 23 57 0 01 Apr 2021
The GIST and RIST of Iterative Self-Training for Semi-Supervised Segmentation Eu Wern Teh Terrance Devries Brendan Duke R. Jiang P. Aarabi Graham W. Taylor VLM 39 8 0 31 Mar 2021
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 43 80 0 24 Mar 2021
Dilated SpineNet for Semantic Segmentation Abdullah M. Rashwan Xianzhi Du Xiaoqi Yin Jing Li SSeg 15 7 0 23 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 29 297 0 13 Mar 2021
Probabilistic two-stage detection Xingyi Zhou V. Koltun Philipp Krahenbuhl ObjD 42 224 0 12 Mar 2021
Cycle Self-Training for Domain Adaptation Hong Liu Jianmin Wang Mingsheng Long 36 174 0 05 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis Jiaye Teng Weiran Huang Haowei He SSL 29 11 0 05 Mar 2021
Self-supervised Geometric Perception Heng Yang W. Dong Luca Carlone V. Koltun 27 36 0 04 Mar 2021
Pseudo-labeling for Scalable 3D Object Detection Benjamin Caine Rebecca Roelofs Vijay Vasudevan Jiquan Ngiam Yuning Chai Z. Chen Jonathon Shlens 34 41 0 02 Mar 2021
Self-supervised driven consistency training for annotation efficient histopathology image analysis C. Srinidhi Seung Wook Kim Fu-Der Chen Anne L. Martel SSL 21 109 0 07 Feb 2021
A linearized framework and a new benchmark for model selection for fine-tuning Aditya Deshpande Alessandro Achille Avinash Ravichandran Hao Li L. Zancato Charless C. Fowlkes Rahul Bhotika Stefano Soatto Pietro Perona ALM 115 46 0 29 Jan 2021
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 969 0 13 Dec 2020
Contrastive Learning for Label-Efficient Semantic Segmentation Xiangyu Zhao Raviteja Vemulapalli Philip Mansfield Boqing Gong Bradley Green Lior Shapira Ying Nian Wu SSL SSeg 36 174 0 13 Dec 2020
PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions R. K. Jones Homer Walke Daniel E. Ritchie 22 24 0 25 Nov 2020
Data Transfer Approaches to Improve Seq-to-Seq Retrosynthesis Katsuhiko Ishiguro K. Ujihara R. Sawada Hirotaka Akita Masaaki Kotera 27 6 0 02 Oct 2020
Self-supervised Learning: Generative or Contrastive Xiao Liu Fanjin Zhang Zhenyu Hou Zhaoyu Wang Li Mian Jing Zhang Jie Tang SSL 50 1,586 0 15 Jun 2020
Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset Menglin Jia Mengyun Shi Mikhail Sirotenko Huayu Chen Claire Cardie B. Hariharan Hartwig Adam Serge J. Belongie 24 92 0 26 Apr 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 256 656 0 23 Mar 2020
A Survey on Deep Learning-based Architectures for Semantic Segmentation on 2D images Irem Ülkü Erdem Akagündüz SSeg 40 189 0 21 Dec 2019
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 244 269 0 30 Sep 2019
There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average Ben Athiwaratkun Marc Finzi Pavel Izmailov A. Wilson 202 243 0 14 Jun 2018