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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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9
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ImageNet Large Scale Visual Recognition Challenge
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2015
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Olga Russakovsky
Jia Deng
Hao Su
Jonathan Krause
Sanjeev Satheesh
Sean Ma
Zhiheng Huang
Andrej Karpathy
Aditya Khosla
Michael S. Bernstein
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7
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The iNaturalist Species Classification and Detection Dataset
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2018
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Grant Van Horn
Oisin Mac Aodha
Yang Song
Yin Cui
Chen Sun
Alex Shepard
Hartwig Adam
Pietro Perona
Serge Belongie
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5
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Fine-Grained Visual Classification of Aircraft
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2013
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Subhransu Maji
Esa Rahtu
Juho Kannala
Matthew B. Blaschko
Andrea Vedaldi
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4
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A large-scale car dataset for fine-grained categorization and verification
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2015
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Linjie Yang
Ping Luo
Chen Change Loy
Xiaoou Tang
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4
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Rethinking the Inception Architecture for Computer Vision
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2016
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Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
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4
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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
Zbigniew Wojna
Yang Song
Sergio Guadarrama
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4
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Fine-Grained Car Detection for Visual Census Estimation
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2017
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Timnit Gebru
Jonathan Krause
Yilun Wang
Duyun Chen
Jia Deng
Li Fei-Fei
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4
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YFCC100M
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2016
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Bart Thomée
David A. Shamma
Gerald Friedland
Benjamin Elizalde
Karl Ni
Douglas N. Poland
Damian Borth
Li-Jia Li
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3
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ROAD: Reality Oriented Adaptation for Semantic Segmentation of Urban Scenes
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2018
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Yuhua Chen
Wen Li
Luc Van Gool
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3
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Towards automatic wild animal monitoring: Identification of animal species in camera-trap images using very deep convolutional neural networks
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2017
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Alexander GĂłmez-Villa
Augusto Salazar
J. F. VargasâBonilla
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3
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Camera-trap images segmentation using multi-layer robust principal component analysis
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2017
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Jhony H. Giraldo
Augusto Salazar
Alexander GĂłmez
AngĂ©lica DĂazâPulido
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3
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VGGFace2: A Dataset for Recognising Faces across Pose and Age
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2018
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Qiong Cao
Li Shen
Weidi Xie
Omkar Parkhi
Andrew Zisserman
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3
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Fashionpedia: Ontology, Segmentation, and an Attribute Localization Dataset
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2020
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Menglin Jia
Mengyun Shi
Mikhail Sirotenko
Yin Cui
Claire Cardie
Bharath Hariharan
Hartwig Adam
Serge Belongie
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3
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Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning
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2018
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Mohammad Sadegh Norouzzadeh
AnhâTu Nguyen
Margaret Kosmala
Alexandra Swanson
Meredith S. Palmer
Craig Packer
Jeff Clune
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3
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LVIS: A Dataset for Large Vocabulary Instance Segmentation
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2019
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Agrim Gupta
Piotr DollĂĄr
Ross Girshick
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3
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When Does Self-supervision Improve Few-Shot Learning?
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2020
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Jong-Chyi Su
Subhransu Maji
Bharath Hariharan
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2
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Aggregated Residual Transformations for Deep Neural Networks
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2017
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Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
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2
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FaceNet: A unified embedding for face recognition and clustering
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2015
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Florian Schroff
Dmitry Kalenichenko
James Philbin
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2
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FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding
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2020
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Dian Shao
Yue Zhao
Bo Dai
Dahua Lin
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2
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Deep learning tools for the measurement of animal behavior in neuroscience
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2019
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Mackenzie Weygandt Mathis
Alexander Mathis
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2
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Geo-Aware Networks for Fine-Grained Recognition
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2019
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Grace Chu
Brian Potetz
Weijun Wang
Andrew Howard
Yang Song
Fernando BrĂŒcher
Thomas Leung
Hartwig Adam
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2
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Momentum Contrast for Unsupervised Visual Representation Learning
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2020
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Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
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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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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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Self-Supervised Learning of Pretext-Invariant Representations
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2020
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Ishan Misra
Laurens van der Maaten
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2
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How Well Do Self-Supervised Models Transfer?
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2021
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Linus Ericsson
Henry Gouk
Timothy M. Hospedales
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2
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Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
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2016
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Mehdi Noroozi
Paolo Favaro
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2
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Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes
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2017
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Yang Zhang
Philip David
Boqing Gong
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2
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Big Self-Supervised Models are Strong Semi-Supervised Learners
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2020
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Ting Chen
Simon Kornblith
Kevin Swersky
Mohammad Norouzi
Geoffrey E. Hinton
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2
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Subspace Alignment Based Domain Adaptation for RCNN Detector
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2015
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Anant Raj
Vinay P. Namboodiri
Tinne Tuytelaars
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2
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Low-Shot Visual Recognition by Shrinking and Hallucinating Features
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2017
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Bharath Hariharan
Ross Girshick
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2
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MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition
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2016
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Yandong Guo
Lei Zhang
Yuxiao Hu
Xiaodong He
Jianfeng Gao
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2
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Learning Deep Object Detectors from 3D Models
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2015
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Xingchao Peng
Baochen Sun
Karim Ali
Kate Saenko
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2
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Unsupervised Domain Adaptation by Backpropagation
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2014
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Yaroslav Ganin
Victor Lempitsky
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2
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Automatically identifying wild animals in camera trap images with deep learning.
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2017
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Mohammad Sadegh Norouzzadeh
AnhâTu Nguyen
Margaret Kosmala
Ali Swanson
Craig Packer
Jeff Clune
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2
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Automatic acoustic detection of birds through deep learning: The first Bird Audio Detection challenge
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2018
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Dan Stowell
Michael D. Wood
Hanna PamuĆa
Yannis Stylianou
Hervé Glotin
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2
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Becoming the expert - interactive multi-class machine teaching
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2015
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Edward Johns
Oisin Mac Aodha
Gabriel Brostow
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2
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Recognition in Terra Incognita
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2018
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Sara Beery
Grant Van Horn
Pietro Perona
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2
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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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2
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Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning
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2018
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Yin Cui
Yang Song
Chen Sun
Andrew Howard
Serge Belongie
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2
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Do Better ImageNet Models Transfer Better?
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2019
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Simon Kornblith
Jonathon Shlens
Quoc V. Le
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2
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Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
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2018
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Benjamin Kellenberger
Diego Marcos
Devis Tuia
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2
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Practical Recommendations for Gradient-Based Training of Deep Architectures
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2012
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Yoshua Bengio
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2
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Detecting animals in African Savanna with UAVs and the crowds
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2017
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Rey Nicolas
Michele Volpi
Stéphane Joost
Devis Tuia
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2
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Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
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2018
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Ryan Poplin
Avinash V. Varadarajan
Katy Blumer
Yun Liu
Michael V. McConnell
Greg S. Corrado
Lily Peng
Dale R. Webster
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2
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Presence-Only Geographical Priors for Fine-Grained Image Classification
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2019
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Oisin Mac Aodha
Elijah Cole
Pietro Perona
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2
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Scaling and Benchmarking Self-Supervised Visual Representation Learning
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2019
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Priya Goyal
Dhruv Mahajan
Abhinav Gupta
Ishan Misra
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2
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A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark
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2019
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Xiaohua Zhai
Joan Puigcerver
Alexander Kolesnikov
Pierre Ruyssen
Carlos Riquelme
Mario LuÄiÄ
Josip Djolonga
André Susano Pinto
Maxim Neumann
Alexey Dosovitskiy
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2
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Benchmarking Representation Learning for Natural World Image Collections
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2021
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Grant Van Horn
Elijah Cole
Sara Beery
Michael J. Wilber
Serge Belongie
Oisin MacAodha
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2
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