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Deep Residual Learning for Image Recognition
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2016
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Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
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7
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ReMixMatch: Semi-Supervised Learning with Distribution Matching and Augmentation Anchoring
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2020
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David Berthelot
Nicholas Carlini
Ekin D. Cubuk
А.В. Куракин
Kihyuk Sohn
Han Zhang
Colin Raffel
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4
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Improved Regularization of Convolutional Neural Networks with Cutout
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2017
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Terrance DeVries
Graham W. Taylor
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4
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Self-Training With Noisy Student Improves ImageNet Classification
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2020
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Qizhe Xie
Minh-Thang Luong
Eduard Hovy
Quoc V. Le
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4
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MixMatch: A Holistic Approach to Semi-Supervised Learning
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2019
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David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
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4
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Focal Loss for Dense Object Detection
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2017
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
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3
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FCOS: Fully Convolutional One-Stage Object Detection
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2019
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Zhi Tian
Chunhua Shen
Hao Chen
Tong He
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3
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Pyramid Scene Parsing Network
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2017
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Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
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3
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SSD: Single Shot MultiBox Detector
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2016
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Wei Liu
Dragomir Anguelov
Dumitru Erhan
Christian Szegedy
Scott Reed
Cheng-Yang Fu
Alexander C. Berg
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3
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Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
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2018
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Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
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3
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You Only Look Once: Unified, Real-Time Object Detection
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2016
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Joseph Redmon
Santosh Divvala
Ross Girshick
Ali Farhadi
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3
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End-to-End Object Detection with Transformers
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2020
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Nicolas Carion
Francisco Massa
Gabriel Synnaeve
Nicolas Usunier
Alexander Kirillov
Sergey Zagoruyko
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3
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Bootstrap your own latent: A new approach to self-supervised Learning
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2020
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Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre H. Richemond
Elena Buchatskaya
Carl Doersch
Bernardo Ávila Pires
Zhaohan Daniel Guo
Mohammad Gheshlaghi Azar
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3
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A Simple Semi-Supervised Learning Framework for Object Detection
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2020
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Kihyuk Sohn
Zizhao Zhang
Chun‐Liang Li
Han Zhang
Chen‐Yu Lee
Tomas Pfister
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3
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Unsupervised Data Augmentation for Consistency Training
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2019
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Qizhe Xie
Zihang Dai
Eduard Hovy
Minh-Thang Luong
Quoc V. Le
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3
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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
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2016
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Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
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3
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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
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2017
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Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Murphy
Alan Yuille
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2
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Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
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2015
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Sergey Ioffe
Christian Szegedy
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2
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Semi-Supervised Learning in Video Sequences for Urban Scene Segmentation
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2020
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Liang-Chieh Chen
Raphael Gontijo Lopes
Bowen Cheng
Maxwell D. Collins
Ekin D. Cubuk
Barret Zoph
Hartwig Adam
Jonathon Shlens
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2
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Multi Receptive Field Network for Semantic Segmentation
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2020
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Jianlong Yuan
Zelu Deng
Shu Wang
Zhenbo Luo
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2
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Semi-Supervised Semantic Segmentation With High- and Low-Level Consistency
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2019
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Sudhanshu Mittal
Maxim Tatarchenko
Thomas Brox
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2
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CenterNet: Keypoint Triplets for Object Detection
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2019
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Kaiwen Duan
Song Bai
Lingxi Xie
Honggang Qi
Qingming Huang
Qi Tian
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2
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Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum
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2020
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Zhengyang Feng
Qianyu Zhou
Guangliang Cheng
Xin Tan
Jianping Shi
Lizhuang Ma
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2
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Watch and learn: Semi-supervised learning of object detectors from videos
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2015
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Ishan Misra
Abhinav Shrivastava
Martial Hebert
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2
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FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
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2020
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Kihyuk Sohn
David Berthelot
Chun‐Liang Li
Zizhao Zhang
Nicholas Carlini
Ekin D. Cubuk
А.В. Куракин
Han Zhang
Colin Raffel
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2
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Improved Baselines with Momentum Contrastive Learning
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2020
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Xinlei Chen
Haoqi Fan
Ross Girshick
Kaiming He
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2
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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2016
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Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
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2
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R-FCN: Object Detection via Region-based Fully Convolutional Networks
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2016
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Jifeng Dai
Li Yi
Kaiming He
Jian Sun
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2
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Semi-supervised semantic segmentation needs strong, high-dimensional perturbations
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2019
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Geoff French
Timo Aila
Samuli Laine
Michał Mackiewicz
Graham D. Finlayson
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2
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YOLOv4: Optimal Speed and Accuracy of Object Detection
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2020
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Alexey Bochkovskiy
Chien-Yao Wang
Hong-Yuan Mark Liao
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2
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Relation Networks for Object Detection
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2018
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Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
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2
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Cascade R-CNN: Delving Into High Quality Object Detection
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2018
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Zhaowei Cai
Nuno Vasconcelos
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2
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In-place Activated BatchNorm for Memory-Optimized Training of DNNs
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2018
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Samuel Rota Bulò
Lorenzo Porzi
Peter Kontschieder
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2
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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2
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Simple Baselines for Human Pose Estimation and Tracking
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2018
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Bin Xiao
Haiping Wu
Yichen Wei
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2
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Label Propagation for Deep Semi-Supervised Learning
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2019
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Ahmet İşcen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
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2
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RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
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2017
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Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
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2
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DeepPose: Human Pose Estimation via Deep Neural Networks
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2014
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Alexander Toshev
Christian Szegedy
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2
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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2
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Deep Co-Training for Semi-Supervised Image Recognition
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2018
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Siyuan Qiao
Wei Shen
Zhishuai Zhang
Bo Wang
Alan Yuille
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2
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MMDetection: Open MMLab Detection Toolbox and Benchmark.
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2019
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Kai Chen
Jiaqi Wang
Jiangmiao Pang
Yuhang Cao
Yu Xiong
Xiaoxiao Li
Shuyang Sun
Wansen Feng
Ziwei Liu
Jiarui Xu
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2
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
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2014
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Ross Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
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2
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Split Batch Normalization: Improving Semi-Supervised Learning under Domain Shift
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2019
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Michał Zając
Konrad Żołna
Stanisław Jastrzȩbski
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2
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Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
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2018
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Takeru Miyato
Shin‐ichi Maeda
Masanori Koyama
Shin Ishii
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2
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Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
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2017
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Antti Tarvainen
Harri Valpola
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2
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RandAugment: Practical data augmentation with no separate search.
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2019
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Ekin D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
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2
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Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
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2019
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Zifeng Wu
Chunhua Shen
Anton van den Hengel
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2
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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2
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Rethinking Atrous Convolution for Semantic Image Segmentation
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2017
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Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
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2
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Very Deep Convolutional Networks for Large-Scale Image Recognition
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2014
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Karen Simonyan
Andrew Zisserman
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2
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