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Rethinking Few-Shot Image Classification: A Good Embedding is All You Need?
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2020
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Yonglong Tian
Yue Wang
Dilip Krishnan
Joshua B. Tenenbaum
Phillip Isola
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2
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VirTex: Learning Visual Representations from Textual Annotations
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2021
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Karan Desai
Justin Johnson
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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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3D ShapeNets: A deep representation for volumetric shapes
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2015
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Zhirong Wu
Shuran Song
Aditya Khosla
Fisher Yu
Linguang Zhang
Xiaoou Tang
Jianxiong Xiao
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1
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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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1
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Stacked Hourglass Networks for Human Pose Estimation
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2016
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Alejandro Newell
Kaiyu Yang
Jia Deng
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1
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Going deeper with convolutions
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2015
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Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
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1
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Bridging Nonlinearities and Stochastic Regularizers with Gaussian Error Linear Units
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2016
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Dan Hendrycks
Kevin Gimpel
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1
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Enriching Word Vectors with Subword Information
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2017
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Piotr Bojanowski
Ădouard Grave
Armand Joulin
TomĂĄĹĄ Mikolov
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1
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Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling
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2016
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Jiajun Wu
Chengkai Zhang
Tianfan Xue
William T. Freeman
Joshua B. Tenenbaum
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1
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Baby steps towards few-shot learning with multiple semantics
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2022
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Eli Schwartz
Leonid Karlinsky
RogĂŠrio Feris
Raja Giryes
Alex Bronstein
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1
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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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1
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Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
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2017
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Chelsea Finn
Pieter Abbeel
Sergey Levine
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1
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ShapeWorld - A new test methodology for multimodal language understanding
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2017
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Alexander Kuhnle
Ann Copestake
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1
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Towards 3D Human Pose Estimation in the Wild: A Weakly-Supervised Approach
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2017
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Xingyi Zhou
Qixing Huang
Xiao Sun
Xiangyang Xue
Yichen Wei
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1
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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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1
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Deep visual domain adaptation: A survey
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2018
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Mei Wang
Weihong Deng
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1
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FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation
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2018
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Yaoqing Yang
Chen Feng
Yiru Shen
Dong Tian
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1
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Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
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2018
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Andrew Owens
Alexei A. Efros
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1
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Multiresolution Tree Networks for 3D Point Cloud Processing
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2018
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Matheus Gadelha
Rui Wang
Subhransu Maji
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1
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Deep High-Resolution Representation Learning for Human Pose Estimation
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2019
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Ke Sun
Bin Xiao
Dong Liu
Jingdong Wang
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1
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DISN: Deep Implicit Surface Network for High-quality Single-view 3D
Reconstruction
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2019
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Qiangeng Xu
Weiyue Wang
Duygu Ceylan
RadomĂr MÄch
Ulrich Neumann
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1
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Video Summarization Using Fully Convolutional Sequence Networks
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2018
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Mrigank Rochan
Linwei Ye
Yang Wang
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1
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Learning Representations and Generative Models for 3D Point Clouds
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2017
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Panos Achlioptas
Olga Diamanti
Ioannis Mitliagkas
Leonidas Guibas
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1
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Multiresolution Tree Networks for 3D Point Cloud Processing.
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2018
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Matheus Gadelha
Rui Wang
Subhransu Maji
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1
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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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1
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Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
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2017
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Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
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1
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Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
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2018
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Andrew Owens
Alexei A. Efros
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1
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Meta-Learning With Differentiable Convex Optimization
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2019
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Kwonjoon Lee
Subhransu Maji
Avinash Ravichandran
Stefano Soatto
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1
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Non-local Neural Networks
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2018
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Xiaolong Wang
Ross Girshick
Abhinav Gupta
Kaiming He
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1
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Explanation in artificial intelligence: Insights from the social sciences
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2018
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Tim Miller
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1
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Learning Feature Pyramids for Human Pose Estimation
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2017
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Wei Yang
Shuang Li
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
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1
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MobileNetV2: Inverted Residuals and Linear Bottlenecks
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2018
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Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
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1
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SGDR: Stochastic Gradient Descent with Warm Restarts
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2016
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Ilya Loshchilov
Frank Hutter
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1
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Learning with Latent Language
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2018
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Jacob Andreas
Dan Klein
Sergey Levine
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1
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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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1
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Simple Baselines for Human Pose Estimation and Tracking
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2018
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Bin Xiao
Haiping Wu
Yichen Wei
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1
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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
Ĺukasz Kaiser
Illia Polosukhin
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1
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View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions
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2019
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Zhizhong Han
Mingyang Shang
Yu-Shen Liu
Matthias Zwicker
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1
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Relation-Shape Convolutional Neural Network for Point Cloud Analysis
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2019
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Yongcheng Liu
Bin Fan
Shiming Xiang
Chunhong Pan
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1
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AdaFrame: Adaptive Frame Selection for Fast Video Recognition
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2019
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Zuxuan Wu
Caiming Xiong
ChihâYao Ma
Richard Socher
Larry S. Davis
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1
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SO-Net: Self-Organizing Network for Point Cloud Analysis
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2018
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Jiaxin Li
Ben M. Chen
Gim Hee Lee
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1
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Timeception for Complex Action Recognition
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2019
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Noureldien Hussein
Efstratios Gavves
A.W.M. Smeulders
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1
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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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1
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Video Summarization with Long Short-Term Memory
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2016
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Ke Zhang
WeiâLun Chao
Fei Sha
Kristen Grauman
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1
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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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1
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Learning Deep Representations of Fine-Grained Visual Descriptions
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2016
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Scott Reed
Zeynep Akata
Honglak Lee
Bernt Schiele
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1
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Meta-learning with differentiable closed-form solvers
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2018
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Luca Bertinetto
JoĂŁo F. Henriques
Philip H. S. Torr
Andrea Vedaldi
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1
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Convolutional Pose Machines
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2016
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Shih-En Wei
Varun Ramakrishna
Takeo Kanade
Yaser Sheikh
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1
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Beyond short snippets: Deep networks for video classification
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2015
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Joe Yue-Hei Ng
Matthew Hausknecht
Sudheendra Vijayanarasimhan
Oriol Vinyals
Rajat Monga
George Toderici
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1
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