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We tackle the problem of one-shot instance segmentation: Given an example image of a novel, previously unknown object category, find and segment all objects of this category within a complex scene.
Signature Verification Using A "Siamese" Time Delay Neural Network
Jane Bromley, James W. Bentz, Léon Bottou, Isabelle Guyon, Yann LeCun, Cliff Moore, Eduard Säckinger, and Roopak Shah · 1993
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Visual search
Andries F Sanders and Mieke Donk · 1996
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Learning a similarity metric discriminatively, with application to face verification
Sumit Chopra, Raia Hadsell, and Yann LeCun · 2005
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One-shot learning of object categories
Li Fei-Fei, Rob Fergus, and Pietro Perona · 2006
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Cosegmentation of image pairs by histogram matching-incorporating a global constraint into mrfs
Carsten Rother, Tom Minka, Andrew Blake, and Vladimir Kolmogorov · 2006
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The Pascal Visual Object Classes (VOC) Challenge
Mark Everingham, Luc Van Gool, Christopher K. I. Williams, John Winn, and Andrew Zisserman · 2010
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Visual search for arbitrary objects in real scenes
Jeremy M. Wolfe, George A. Alvarez, Ruth Rosenholtz, Yoana I. Kuzmova, and Ashley M. Sherman · 2011
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Co-segmentation by Composition
Alon Faktor and Michal Irani · 2013
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Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
Ross Girshick, Jeff Donahue, Trevor Darrell, and Jitendra Malik · 2014
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Simultaneous Detection and Segmentation
Bharath Hariharan, Pablo Arbeláez, Ross Girshick, and Jitendra Malik · 2014
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Microsoft COCO: Common Objects in Context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C. Lawrence Zitnick · 2014
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Convolutional Feature Masking for Joint Object and Stuff Segmentation
Jifeng Dai, Kaiming He, and Jian Sun · 2015
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Fast r-cnn
Ross Girshick · 2015
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Siamese Neural Networks for One-shot Image Recognition
Gregory Koch, Richard Zemel, and Ruslan Salakhutdinov · 2015
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Human-level concept learning through probabilistic program induction
Brenden M. Lake, Ruslan Salakhutdinov, and Joshua B. Tenenbaum · 2015
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Fully convolutional networks for semantic segmentation
Jonathan Long, Evan Shelhamer, and Trevor Darrell · 2015
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Learning deconvolution network for semantic segmentation
Hyeonwoo Noh, Seunghoon Hong, and Bohyung Han · 2015
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Learning to Segment Object Candidates
Pedro O. Pinheiro, Ronan Collobert, and Piotr Dollar · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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End-to-end Learning of Deep Visual Representations for Image Retrieval
Albert Gordo, Jon Almazan, Jerome Revaud, and Diane Larlus · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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SSD: Single Shot MultiBox Detector
Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang Fu, and Alexander C. Berg · 2016
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You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Faster R-CNN Features for Instance Search
Amaia Salvador, Xavier Giro-i Nieto, Ferran Marques, and Shin’ichi Satoh · 2016
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Particular object retrieval with integral max-pooling of CNN activations
Giorgos Tolias, Ronan Sicre, and Hervé Jégou · 2016
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Matching networks for one shot learning
Oriol Vinyals, Charles Blundell, Tim Lillicrap, Koray Kavukcuoglu, and Daan Wierstra · 2016
Cited alongside, same era.
Mask r-cnn for object detection and instance segmentation on keras and tensorflow
Waleed Abdulla · 2017
Cited alongside, same era.
One-shot video object segmentation
Sergi Caelles, Kevis-Kokitsi Maninis, Jordi Pont-Tuset, Laura Leal-Taixé, Daniel Cremers, and Luc Van Gool · 2017
Few-Shot Semantic Segmentation with Prototype Learning
Nanqing Dong and Eric P Xing · 2018
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Few-Example Object Detection with Model Communication
Xuanyi Dong, Liang Zheng, Fan Ma, Yi Yang, and Deyu Meng · 2018
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Few-shot object detection via feature reweighting
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, and Trevor Darrell · 2018
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Deep Object Co-Segmentation
Weihao Li, Omid Hosseini Jafari, and Carsten Rother · 2018
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One-Shot Segmentation in Clutter
Claudio Michaelis, Matthias Bethge, and Alexander Ecker · 2018
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Metalearning with Hebbian Fast Weights
Tsendsuren Munkhdalai and Adam Trischler · 2018
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Cited alongside, same era.
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn, Pieter Abbeel, and Sergey Levine · 2017
Cited alongside, same era.
Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Openimages: A public dataset for large-scale multi-label and multi-class image classification
Ivan Krasin, Tom Duerig, Neil Alldrin, Vittorio Ferrari, Sami Abu-El-Haija, Alina Kuznetsova, Hassan Rom, Jasper Uijlings, Stefan Popov, Shahab Kamali, Matteo Malloci, Jordi Pont-Tuset, Andreas Veit, Serge Belongie, Victor Gomes, Abhinav Gupta, Chen Sun, Gal Chechik, David Cai, Zheyun Feng, Dhyanesh Narayanan, and Kevin Murphy · 2017
Cited alongside, same era.
Meta-SGD: Learning to Learn Quickly for Few-Shot Learning
Zhenguo Li, Fengwei Zhou, Fei Chen, and Hang Li · 2017
Cited alongside, same era.
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
Cited alongside, same era.
Focal Loss for Dense Object Detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
Cited alongside, same era.
Closest in time.
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts
Shafin Rahman, Salman Khan, and Fatih Porikli · 2018
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Conditional Networks for Few-Shot Semantic Segmentation
Kate Rakelly, Evan Shelhamer, Trevor Darrell, Alyosha Efros, and Sergey Levine · 2018
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YOLOv3: An Incremental Improvement
Joseph Redmon and Ali Farhadi · 2018
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Meta-Learning for Semi-Supervised Few-Shot Classification
Mengye Ren, Eleni Triantafillou, Sachin Ravi, Jake Snell, Kevin Swersky, Joshua B. Tenenbaum, Hugo Larochelle, and Richard S. Zemel · 2018
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Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H S Torr, and Timothy M Hospedales · 2018
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Ivan Ustyuzhaninov, Claudio Michaelis, Wieland Brendel, and Matthias Bethge · 2018
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Large Margin Few-Shot Learning
Yong Wang, Xiao-Ming Wu, Qimai Li, Jiatao Gu, Wangmeng Xiang, Lei Zhang, and Victor O. K. Li · 2018
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Annotation-free and one-shot learning for instance segmentation of homogeneous object clusters
Zheng Wu, Ruiheng Chang, Jiaxu Ma, Cewu Lu, and Chi-Keung Tang · 2018
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Zero shot detection
Pengkai Zhu, Hanxiao Wang, and Venkatesh Saligrama · 2018
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The 2019 DAVIS Challenge on VOS: Unsupervised Multi-Object Segmentation
Sergi Caelles, Jordi Pont-Tuset, Federico Perazzi, Alberto Montes, Kevis-Kokitsi Maninis, and Luc Van Gool · 2019
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LCC: learning to customize and combine neural networks for few-shot learning
Yaoyao Liu, Qianru Sun, An-An Liu, Yuting Su, Bernt Schiele, and Tat-Seng Chua · 2019
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Meta-Learning with Latent Embedding Optimization
Andrei A. Rusu, Dushyant Rao, Jakub Sygnowski, Oriol Vinyals, Razvan Pascanu, Simon Osindero, and Raia Hadsell · 2019
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RepMet: Representative-based metric learning for classification and one-shot object detection
Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Sharathchandra Pankanti, Rogerio Feris, Abhishek Kumar, Raja Giryes, and Alex M. Bronstein · 2019
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Meta-transfer learning for few-shot learning
Qianru Sun, Yaoyao Liu, Tat-Seng Chua, and Bernt Schiele · 2019
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Comparison network for one-shot conditional object detection
Tengfei Zhang, Yue Zhang, Xian Sun, Hao Sun, Menglong Yan, Xue Yang, and Kun Fu · 2019
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Data augmentation using learned transforms for one-shot medical image segmentation
Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, and Adrian V. Dalca · 2019
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