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Revisiting Self-Supervised Visual Representation Learning
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2019
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Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
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3
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Deep learning with noisy labels: Exploring techniques and remedies in medical image analysis
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2020
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Davood Karimi
Haoran Dou
Simon K. Warfield
Ali Gholipour
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3
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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2017
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Raffaelli Charles
Hao Su
Kaichun Mo
Leonidas Guibas
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3
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SCAN: Learning to Classify Images Without Labels
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2020
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Wouter Van Gansbeke
Simon Vandenhende
Stamatios Georgoulis
Marc Proesmans
Luc Van Gool
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3
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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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3
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Path Aggregation Network for Instance Segmentation
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2018
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Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
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2
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3D ShapeNets: A deep representation for volumetric shapes
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2015
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Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
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Phase retrieval, error reduction algorithm, and Fienup variants: a view from convex optimization
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Volumetric and Multi-View CNNs for Object Classification on 3D Data
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Hao Su
Matthias NieĂner
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OctNet: Learning Deep 3D Representations at High Resolutions
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2017
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Gernot Riegler
Ali Osman Ulusoy
Andreas Geiger
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Speed/Accuracy Trade-Offs for Modern Convolutional Object Detectors
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2017
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Jonathan Huang
Vivek Rathod
Chen Sun
Menglong Zhu
Anoop Korattikara
Alireza Fathi
Ian Fischer
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Yang Song
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The Stixel World: A medium-level representation of traffic scenes
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2017
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Marius Cordts
Timo Rehfeld
Lukas Schneider
David Pfeiffer
Markus Enzweiler
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Uwe Franke
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ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes
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2017
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Angela Dai
Anne Lynn S. Chang
Manolis Savva
Maciej Halber
Thomas Funkhouser
Matthias NieĂner
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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
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Markus Enzweiler
Rodrigo Benenson
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GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
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2019
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Li Yi
Wang Zhao
He Wang
Minhyuk Sung
Leonidas Guibas
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On the Effect of Inter-observer Variability for a Reliable Estimation of Uncertainty of Medical Image Segmentation
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2018
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Alain Jungo
Raphael Meier
Ekin ErmiĆ
Marcela Blatti-Moreno
Evelyn Herrmann
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PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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2017
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Charles R. Qi
Yi Li
Hao Su
Leonidas Guibas
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SEGCloud: Semantic Segmentation of 3D Point Clouds
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2017
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Lyne P. Tchapmi
Christopher Choy
Iro Armeni
JunYoung Gwak
Silvio Savarese
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Phase Retrieval Using Alternating Minimization
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2015
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Praneeth Netrapalli
Prateek Jain
Sujay Sanghavi
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Frustum PointNets for 3D Object Detection from RGB-D Data
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2018
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Charles R. Qi
Wei Liu
Chenxia Wu
Hao Su
Leonidas Guibas
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UPSNet: A Unified Panoptic Segmentation Network
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2019
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Yuwen Xiong
Renjie Liao
Hengshuang Zhao
Rui Hu
Min Bai
Ersin Yumer
Raquel Urtasun
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Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
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2019
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Jianan Wang
Ronald Clark
Qingyong Hu
Sen Wang
Andrew Markham
Niki Trigoni
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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
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Colin Raffel
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2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy
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2019
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Lars Schmarje
Claudius Zelenka
Ulf Geisen
ClausâC. GlĂŒer
Reinhard Koch
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Invariant Information Clustering for Unsupervised Image Classification and Segmentation
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2019
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Xu Ji
Andrea Vedaldi
JoĂŁo Henriques
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Image classification with deep learning in the presence of noisy labels: A survey
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2021
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Görkem Algan
Ä°lkay Ulusoy
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Human Uncertainty Makes Classification More Robust
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2019
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Joshua Peterson
Ruairidh M. Battleday
Thomas L. Griffiths
Olga Russakovsky
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2
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Deep Snake for Real-Time Instance Segmentation
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2020
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Sida Peng
Wen Jiang
Huaijin Pi
Xiuli Li
Hujun Bao
Xiaowei Zhou
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Learning From Noisy Labels With Deep Neural Networks: A Survey
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2022
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Minseok Kim
Dongmin Park
Yooju Shin
Jae-Gil Lee
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SSD: Single Shot MultiBox Detector
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Dragomir Anguelov
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SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
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Jinho Choo
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Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
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2021
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Seong Joon Oh
Byeongho Heo
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Junsuk Choe
Sanghyuk Chun
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Fuzzy Overclustering: Semi-Supervised Classification of Fuzzy Labels with Overclustering and Inverse Cross-Entropy
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2021
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Lars Schmarje
Johannes BrĂŒnger
Monty Santarossa
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Rainer Kiko
Reinhard Koch
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Fourier ptychographic reconstruction using Wirtinger flow optimization
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Jinli Suo
Guoan Zheng
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Feng Chen
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Focal Loss for Dense Object Detection
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Tsung-Yi Lin
Priya Goyal
Ross Girshick
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Piotr DollĂĄr
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Big Self-Supervised Models are Strong Semi-Supervised Learners
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Simon Kornblith
Kevin Swersky
Mohammad Norouzi
Geoffrey E. Hinton
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Densely Connected Convolutional Networks
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Zhuang Liu
Laurens van der Maaten
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Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth
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2019
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Davy Neven
Bert De Brabandere
Marc Proesmans
Luc Van Gool
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Path Aggregation Network for Instance Segmentation
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2018
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Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
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1
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3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
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2018
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Hongming Shan
Yi Zhang
Qingsong Yang
Uwe KrĂŒger
Mannudeep K. Kalra
Ling Sun
Wenxiang Cong
Ge Wang
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On the Properties of Neural Machine Translation: EncoderâDecoder Approaches
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Bart van Merriënboer
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Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
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2017
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Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
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Attention Is All You Need
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Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
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Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
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2020
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Nima Tajbakhsh
Laura Jeyaseelan
Qian Li
Jeffrey N. Chiang
Zhihao Wu
Xiaowei Ding
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Training Convolutional Networks with Noisy Labels
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Joan Bruna
Manohar Paluri
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Mutual Distillation Learning Network for Trajectory-User Linking
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2022
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Wei Chen
Shuzhe Li
Chao Huang
Yanwei Yu
Yongguo Jiang
Junyu Dong
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Barlow Twins: Self-Supervised Learning via Redundancy Reduction
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2021
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Jure Ćœbontar
Jing Li
Ishan Misra
Yann LeCun
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Deep Learning for Anomaly Detection
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2021
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Guansong Pang
Chunhua Shen
Longbing Cao
Anton van den Hengel
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Deep learning with self-supervision and uncertainty regularization to count fish in underwater images
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2022
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Penny Tarling
MaurĂcio Cantor
Albert Clapés
SĂ©rgio Escalera
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