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Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks
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2020
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Deng-Ping Fan
Lin Zheng
Zhao Zhang
Menglong Zhu
MingâMing Cheng
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2
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Visual saliency based on multiscale deep features
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2015
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Guanbin Li
Yizhou Yu
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2
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Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
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2019
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Zhe Wu
Li Su
Qingming Huang
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2
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Label Decoupling Framework for Salient Object Detection
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2020
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Jun Wei
Shuhui Wang
Zhe Wu
Chi Su
Qingming Huang
Qi Tian
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2
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Deeply Supervised Salient Object Detection with Short Connections
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2017
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Qibin Hou
MingâMing Cheng
Xiaowei Hu
Ali Borji
Zhuowen Tu
Philip H. S. Torr
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2
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Multi-Scale Interactive Network for Salient Object Detection
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2020
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Youwei Pang
Xiaoqi Zhao
Lihe Zhang
Huchuan Lu
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2
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PiCANet: Learning Pixel-Wise Contextual Attention for Saliency Detection
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2018
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Nian Liu
Junwei Han
MingâHsuan Yang
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2
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Hierarchical Saliency Detection
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2013
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Qiong Yan
Li Xu
Jianping Shi
Jiaya Jia
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2
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Saliency for fine-grained object recognition in domains with scarce training data
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2019
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Carola Figueroa-Flores
Abel GonzĂĄlez-GarcĂa
Joost van de Weijer
Bogdan Raducanu
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2
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The Secrets of Salient Object Segmentation
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2014
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Yin Li
Xiaodi Hou
Christof Koch
James M. Rehg
Alan Yuille
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2
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Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
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2017
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Pingping Zhang
Dong Wang
Huchuan Lu
Hongyu Wang
Xiang Ruan
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2
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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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2
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Enhanced-alignment Measure for Binary Foreground Map Evaluation
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2018
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Deng-Ping Fan
Cheng Gong
Yang Cao
Bo Ren
MingâMing Cheng
Ali Borji
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2
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Deeply-Supervised Recurrent Convolutional Neural Network for Saliency Detection
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2016
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Youbao Tang
Xiangqian Wu
Wei Bu
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1
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The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Outcomes
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2019
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Nicholas Heller
Niranjan Sathianathen
Arveen Kalapara
Edward Walczak
Keenan Moore
Heather Kaluzniak
Joel Rosenberg
Paul Blake
Zachary Rengel
Makinna Oestreich
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1
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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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1
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Deep Saliency with Encoded Low Level Distance Map and High Level Features
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2016
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GaâYoung Lee
YuâWing Tai
Junmo Kim
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1
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Reverse Attention for Salient Object Detection
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2018
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Shuhan Chen
Xiuli Tan
Ben Wang
Xuelong Hu
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1
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Perceptual Losses for Real-Time Style Transfer and Super-Resolution
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2016
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Justin Johnson
Alexandre Alahi
Li Fei-Fei
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1
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Image-Based Recommendations on Styles and Substitutes
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2015
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Julian McAuley
Christopher Targett
Qinfeng Shi
Anton van den Hengel
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1
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Modeling Visual Context Is Key to Augmenting Object Detection Datasets
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2018
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Nikita Dvornik
Julien Mairal
Cordelia Schmid
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1
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Automatic Differentiation
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2011
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1
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Pyramid Feature Attention Network for Saliency Detection
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2019
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Ting Zhao
Xiangqian Wu
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1
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RGB-T object tracking: Benchmark and baseline
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2019
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Chenglong Li
Xinyan Liang
Yijuan Lu
Nan Zhao
Jin Tang
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1
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Sequential Variational Autoencoders for Collaborative Filtering
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2019
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Noveen Sachdeva
Giuseppe Manco
Ettore Ritacco
Vikram Pudi
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1
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A large annotated medical image dataset for the development and evaluation of segmentation algorithms
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2019
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Amber L. Simpson
Michela Antonelli
Spyridon Bakas
Michel Bilello
Keyvan Farahani
Bram van Ginneken
Annette KoppâSchneider
Bennett A. Landman
Geert Litjens
Bjoern Menze
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1
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Long Short-Term Memory-Networks for Machine Reading
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2016
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Jianpeng Cheng
Li Dong
Mirella Lapata
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1
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Salient Object Detection in the Deep Learning Era: An In-Depth Survey
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2021
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Wenguan Wang
Qiuxia Lai
Huazhu Fu
Jianbing Shen
Haibin Ling
Ruigang Yang
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1
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A Simple Pooling-Based Design for Real-Time Salient Object Detection
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2019
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Jiangjiang Liu
Qibin Hou
MingâMing Cheng
Jiashi Feng
Jianmin Jiang
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1
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RGB-T Image Saliency Detection via Collaborative Graph Learning
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2019
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Zhengzheng Tu
Tian Xia
Chenglong Li
Xiaoxiao Wang
Yan Ma
Jin Tang
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1
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LSTD: A Low-Shot Transfer Detector for Object Detection
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2018
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Hao Chen
Yali Wang
Guoyou Wang
Yu Qiao
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1
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Neural Factorization Machines for Sparse Predictive Analytics
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2017
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Xiangnan He
TatâSeng Chua
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1
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Video Salient Object Detection via Fully Convolutional Networks
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2017
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Wenguan Wang
Jianbing Shen
Ling Shao
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1
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Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
|
2013
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Yoshua Bengio
Nicholas LĂ©onard
Aaron Courville
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1
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Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
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2017
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Debidatta Dwibedi
Ishan Misra
Martial Hebert
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1
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Progressive Feature Alignment for Unsupervised Domain Adaptation
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2019
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Chaoqi Chen
Weiping Xie
Wenbing Huang
Yu Rong
Xinghao Ding
Yue Huang
Tingyang Xu
Junzhou Huang
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1
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Squeeze-and-Excitation Networks
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2018
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Jie Hu
Li Shen
Gang Sun
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1
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Variational Autoencoders for Collaborative Filtering
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2018
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Dawen Liang
Rahul G. Krishnan
Matthew D. Hoffman
Tony Jebara
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1
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Instance-Level Salient Object Segmentation
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2017
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Guanbin Li
Yuan Xie
Liang Lin
Yizhou Yu
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1
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Meta-SR: A Magnification-Arbitrary Network for Super-Resolution
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2019
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Xuecai Hu
Haoyuan Mu
Xiangyu Zhang
Zilei Wang
Tieniu Tan
Jian Sun
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1
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Enhanced Deep Residual Networks for Single Image Super-Resolution
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2017
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Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
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1
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Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs
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2018
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Yu. A. Malkov
D. A. Yashunin
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1
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Neural Collaborative Filtering
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2017
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Xiangnan He
Lizi Liao
Hanwang Zhang
Liqiang Nie
Xia Hu
TatâSeng Chua
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1
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VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
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2016
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Ruining He
Julian McAuley
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1
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+
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Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
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2012
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Philipp KrĂ€henbĂŒhl
Vladlen Koltun
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1
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Zero-Shot Super-Resolution Using Deep Internal Learning
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2018
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Assaf Shocher
Nadav Cohen
Michal Irani
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1
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Adversarial Discriminative Domain Adaptation
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2017
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Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
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1
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Driving in the Matrix: Can virtual worlds replace human-generated annotations for real world tasks?
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2017
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Matthew JohnsonâRoberson
Charles Barto
Rounak Mehta
Sharath Nittur Sridhar
Karl Rosaen
Ram Vasudevan
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1
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Learning Phrase Representations using RNN EncoderâDecoder for Statistical Machine Translation
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2014
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Kyunghyun Cho
Bart van Merriënboer
Ăaǧlar GĂŒlçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
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1
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Salient Object Subitizing
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2015
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Jianming Zhang
Shugao Ma
Mehrnoosh Sameki
Stan Sclaroff
Margrit Betke
Zhe Lin
Xiaohui Shen
Brian Price
RadomĂr MÄch
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1
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