Data Distillation: Towards Omni-Supervised Learning

12 December 2017

Piotr Dollár

Papers citing "Data Distillation: Towards Omni-Supervised Learning"

33 / 83 papers shown

Title
Squeezed Deep 6DoF Object Detection Using Knowledge Distillation H. Felix Walber M. Rodrigues David Macêdo Francisco Simões Adriano Oliveira Veronica Teichrieb Cleber Zanchettin 3DPC 19 9 0 30 Mar 2020
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 262 656 0 23 Mar 2020
Knowledge Distillation for Brain Tumor Segmentation Dmitrii Lachinov E. Shipunova Vadim Turlapov 23 15 0 10 Feb 2020
Curriculum Labeling: Revisiting Pseudo-Labeling for Semi-Supervised Learning Paola Cascante-Bonilla Fuwen Tan Yanjun Qi Vicente Ordonez ODL 47 23 0 16 Jan 2020
Proposal Learning for Semi-Supervised Object Detection Peng Tang Chetan Ramaiah Yan Wang Ran Xu Caiming Xiong 28 100 0 15 Jan 2020
Machine Intelligence at the Edge with Learning Centric Power Allocation Shuai Wang Yik-Chung Wu Minghua Xia Rui-cang Wang H. Vincent Poor 35 66 0 12 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 55 2,362 0 11 Nov 2019
FEED: Feature-level Ensemble for Knowledge Distillation Seonguk Park Nojun Kwak FedML 15 41 0 24 Sep 2019
Object-Centric Stereo Matching for 3D Object Detection Alex D. Pon Jason Ku Chengyao Li Steven L. Waslander 3DPC 23 85 0 17 Sep 2019
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 33 751 0 27 Aug 2019
Similarity-Preserving Knowledge Distillation Frederick Tung Greg Mori 43 959 0 23 Jul 2019
Distill-2MD-MTL: Data Distillation based on Multi-Dataset Multi-Domain Multi-Task Frame Work to Solve Face Related Tasksks, Multi Task Learning, Semi-Supervised Learning Sepidehsadat Hosseini M. Shabani N. Cho CVBM 28 3 0 08 Jul 2019
Billion-scale semi-supervised learning for image classification I. Z. Yalniz Hervé Jégou Kan Chen Manohar Paluri D. Mahajan SSL 36 458 0 02 May 2019
A Large RGB-D Dataset for Semi-supervised Monocular Depth Estimation Jaehoon Cho Dongbo Min Youngjung Kim Kwanghoon Sohn MDE 3DV 25 47 0 23 Apr 2019
High Fidelity Face Manipulation with Extreme Poses and Expressions Chaoyou Fu Yibo Hu Xiang Wu Guoli Wang Qian Zhang Ran He CVBM 24 25 0 28 Mar 2019
Deep Co-Training for Semi-Supervised Image Segmentation Jizong Peng Guillermo Estrada M. Pedersoli Christian Desrosiers 35 178 0 27 Mar 2019
DDFlow: Learning Optical Flow with Unlabeled Data Distillation Pengpeng Liu Irwin King Michael R. Lyu Jia Xu 6 173 0 25 Feb 2019
DistInit: Learning Video Representations Without a Single Labeled Video Rohit Girdhar Du Tran Lorenzo Torresani Deva Ramanan 21 54 0 26 Jan 2019
Progressive Label Distillation: Learning Input-Efficient Deep Neural Networks Z. Q. Lin A. Wong 14 1 0 26 Jan 2019
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding Dengxin Dai Daniel Gehrig Simon Hecker Luc Van Gool 37 140 0 05 Jan 2019
A Self-Supervised Bootstrap Method for Single-Image 3D Face Reconstruction Yifan Xing Rahul Tewari Paulo R. S. Mendonça 3DH 24 8 0 14 Dec 2018
Towards Accurate Generative Models of Video: A New Metric & Challenges Thomas Unterthiner Sjoerd van Steenkiste Karol Kurach Raphaël Marinier Marcin Michalski Sylvain Gelly EGVM VGen 27 687 0 03 Dec 2018
Factorized Distillation: Training Holistic Person Re-identification Model by Distilling an Ensemble of Partial ReID Models Pengyuan Ren Jianmin Li 25 9 0 20 Nov 2018
Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning Arnab Kumar Mondal Jose Dolz Christian Desrosiers GAN MedIm 35 118 0 29 Oct 2018
Automatic Brain Tumor Segmentation using Convolutional Neural Networks with Test-Time Augmentation Guotai Wang Wenqi Li Sebastien Ourselin Tom Kamiel Magda Vercauteren 14 151 0 18 Oct 2018
Attention-Guided Answer Distillation for Machine Reading Comprehension Minghao Hu Yuxing Peng Furu Wei Zhen Huang Dongsheng Li Nan Yang M. Zhou FaML 21 75 0 23 Aug 2018
A Two-Stream Mutual Attention Network for Semi-supervised Biomedical Segmentation with Noisy Labels Shaobo Min Xiao Chen Zhengjun Zha Feng Wu Yongdong Zhang 26 79 0 31 Jul 2018
Leveraging Unlabeled Whole-Slide-Images for Mitosis Detection S. Akram Talha Qaiser S. Graham Arno Solin J. Heikkilä Nasir M. Rajpoot 16 31 0 31 Jul 2018
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks Guotai Wang Wenqi Li Michael Aertsen Jan Deprest Sebastien Ourselin Tom Kamiel Magda Vercauteren UQCV MedIm OOD 49 582 0 19 Jul 2018
AffinityNet: semi-supervised few-shot learning for disease type prediction Tianle Ma A. Zhang 19 55 0 22 May 2018
Object detection at 200 Frames Per Second Rakesh Mehta Cemalettin Öztürk ObjD 30 61 0 16 May 2018
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training Yuyin Zhou Yan Wang Peng Tang S. Bai Wei Shen Elliot K. Fishman Alan Yuille 22 129 0 07 Apr 2018
PersonLab: Person Pose Estimation and Instance Segmentation with a Bottom-Up, Part-Based, Geometric Embedding Model George Papandreou Tyler Lixuan Zhu Liang-Chieh Chen Spyros Gidaris Jonathan Tompson Kevin Patrick Murphy 17 542 0 22 Mar 2018