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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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6
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TADAM: Task dependent adaptive metric for improved few-shot learning
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2018
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Boris N. Oreshkin
Pau RodrĂguez
Alexandre Lacoste
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3
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Few-Shot Image Recognition by Predicting Parameters from Activations
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2018
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Siyuan Qiao
Chenxi Liu
Wei Shen
Alan Yuille
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3
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Feature Pyramid Networks for Object Detection
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2017
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Tsung-Yi Lin
Piotr DollĂĄr
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
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3
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Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning
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2019
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Wenbin Li
Lei Wang
Jinglin Xu
Jing Huo
Yang Gao
Jiebo Luo
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3
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Prototypical Networks for Few-shot Learning
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2017
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Jake Snell
Kevin Swersky
Richard S. Zemel
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3
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A Broader Study of Cross-Domain Few-Shot Learning
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2020
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Yunhui Guo
Noel Codella
Leonid Karlinsky
James Codella
John R. Smith
Kate Saenko
Tajana Rosing
Rogério Feris
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3
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Matching networks for one shot learning
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2016
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Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
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3
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Few-Shot Learning with Metric-Agnostic Conditional Embeddings
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2018
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Nathan Hilliard
Lawrence Phillips
Scott Howland
A. Yankov
Courtney D. Corley
Nathan O. Hodas
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3
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Reptile: a Scalable Metalearning Algorithm
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2018
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Alex Nichol
John Schulman
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3
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Attention Is All You Need
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2017
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Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Ćukasz Kaiser
Illia Polosukhin
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3
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Meta-Learning with Latent Embedding Optimization
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2018
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Andrei A. Rusu
Dushyant Rao
Jakub Sygnowski
Oriol Vinyals
Razvan Pascanu
Simon Osindero
Raia Hadsell
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3
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Learning to Compare: Relation Network for Few-Shot Learning
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2018
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Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip H. S. Torr
Timothy M. Hospedales
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3
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Wide Residual Networks
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2016
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Sergey Zagoruyko
Nikos Komodakis
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3
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Meta-Transfer Learning for Few-Shot Learning
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2019
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Qianru Sun
Yaoyao Liu
TatâSeng Chua
Bernt Schiele
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3
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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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3
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A Closer Look at Few-shot Classification
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2019
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Wei-Yu Chen
YenâCheng Liu
Zsolt Kira
Yu-Chiang Frank Wang
JiaâBin Huang
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3
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Using Deep Learning for Image-Based Plant Disease Detection
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2016
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Sharada P. Mohanty
David Hughes
Marcel Salathé
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2
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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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2
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Sparse R-CNN: End-to-End Object Detection with Learnable Proposals
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2021
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Peize Sun
Rufeng Zhang
Yi Jiang
Tao Kong
Chenfeng Xu
Wei Zhan
Masayoshi Tomizuka
Lei Li
Zehuan Yuan
Changhu Wang
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2
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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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2
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EpicFlow: Edge-preserving interpolation of correspondences for optical flow
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2015
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JĂ©rĂŽme Revaud
Philippe Weinzaepfel
ZaĂŻd Harchaoui
Cordelia Schmid
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2
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FlowNet: Learning Optical Flow with Convolutional Networks
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2015
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Alexey Dosovitskiy
Philipp Fischer
Eddy Ilg
Philip HĂ€usser
Caner HazırbaĆ
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
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2
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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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2
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MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
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2018
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Bo Zhao
Xinwei Sun
Yanwei Fu
Yuan Yao
Yizhou Wang
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2
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Boosting Few-Shot Visual Learning With Self-Supervision
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2019
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Spyros Gidaris
Andrei Bursuc
Nikos Komodakis
Patrick Perez Perez
Matthieu Cord
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2
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ChestX-Ray8: Hospital-Scale Chest X-Ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases
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2017
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Xiaosong Wang
Yifan Peng
Le LĂŒ
Zhiyong Lu
Mohammadhadi Bagheri
Ronald M. Summers
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2
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Few-Shot Learning with Graph Neural Networks
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2017
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VĂctor GarcĂa
Joan Bruna
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2
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EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
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2019
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Patrick Helber
Benjamin Bischke
Andreas Dengel
Damian Borth
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2
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Flow-Guided Feature Aggregation for Video Object Detection
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2017
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Xizhou Zhu
Yujie Wang
Jifeng Dai
Lu Yuan
Yichen Wei
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2
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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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2
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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 DollĂĄr
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2
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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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2
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Skin Lesion Analysis Toward Melanoma Detection 2018: A Challenge Hosted by the International Skin Imaging Collaboration (ISIC)
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2019
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Noel Codella
Veronica Rotemberg
Philipp Tschandl
M. Emre Celebi
Stephen W. Dusza
David Gutman
Brian Helba
Aadi Kalloo
Konstantinos Liopyris
Michael A. Marchetti
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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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Learning Representations by Maximizing Mutual Information Across Views
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2019
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Philip Bachman
R Devon Hjelm
William Buchwalter
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2
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Representation Learning with Contrastive Predictive Coding
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2018
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AĂ€ron van den Oord
Yazhe Li
Oriol Vinyals
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2
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A Simple Neural Attentive Meta-Learner
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2017
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Nikhil Mishra
Mostafa Rohaninejad
Xi Chen
Pieter Abbeel
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2
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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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Loss-Sensitive Generative Adversarial Networks on Lipschitz Densities
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2017
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Guo-Jun Qi
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1
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Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
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2015
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Alec Radford
Luke Metz
Soumith Chintala
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1
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YOLO9000: Better, Faster, Stronger
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2017
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Joseph Redmon
Ali Farhadi
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1
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End-to-End Concept Word Detection for Video Captioning, Retrieval, and Question Answering
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2017
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Youngjae Yu
Hyungjin Ko
Jongwook Choi
Gunhee Kim
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1
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Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
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2016
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Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
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1
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CIDEr: Consensus-based image description evaluation
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2015
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Ramakrishna Vedantam
C. Lawrence Zitnick
Devi Parikh
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1
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Deep Feature Flow for Video Recognition
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2017
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Xizhou Zhu
Yuwen Xiong
Jifeng Dai
Lu Yuan
Yichen Wei
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1
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Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
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2014
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David Eigen
Christian Puhrsch
Rob Fergus
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1
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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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1
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Born Again Neural Networks
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2018
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Tommaso Furlanello
Zachary C. Lipton
Michael Tschannen
Laurent Itti
Anima Anandkumar
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1
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Task-Driven Super Resolution: Object Detection in Low-Resolution Images
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2021
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Muhammad Haris
Greg Shakhnarovich
Norimichi Ukita
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1
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