|
+
|
Very Deep Convolutional Networks for Large-Scale Image Recognition
|
2014
|
Karen Simonyan
Andrew Zisserman
|
1
|
|
+
PDF
Chat
|
Rethinking the Inception Architecture for Computer Vision
|
2016
|
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jon Shlens
Zbigniew Wojna
|
1
|
|
+
PDF
Chat
|
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles
|
2016
|
Mehdi Noroozi
Paolo Favaro
|
1
|
|
+
|
Adversarial Feature Learning
|
2016
|
Jeff Donahue
Philipp Krähenbühl
Trevor Darrell
|
1
|
|
+
PDF
Chat
|
SIFT Meets CNN: A Decade Survey of Instance Retrieval
|
2017
|
Liang Zheng
Yi Yang
Qi Tian
|
1
|
|
+
PDF
Chat
|
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
|
2017
|
Richard Zhang
Phillip Isola
Alexei A. Efros
|
1
|
|
+
|
Mask R-CNN
|
2017
|
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross Girshick
|
1
|
|
+
PDF
Chat
|
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
|
2017
|
Li Liu
Fumin Shen
Yuming Shen
Xianglong Liu
Ling Shao
|
1
|
|
+
PDF
Chat
|
PatternNet: A benchmark dataset for performance evaluation of remote sensing image retrieval
|
2018
|
Weixun Zhou
Shawn Newsam
Chang Ming Li
Zhenfeng Shao
|
1
|
|
+
|
Focal Loss for Dense Object Detection
|
2017
|
Tsung-Yi Lin
Priya Goyal
Ross Girshick
Kaiming He
Piotr Dollár
|
1
|
|
+
|
Improved Regularization of Convolutional Neural Networks with Cutout
|
2017
|
Terrance DeVries
Graham W. Taylor
|
1
|
|
+
|
Random Erasing Data Augmentation
|
2017
|
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
|
1
|
|
+
PDF
Chat
|
Representation Learning by Learning to Count
|
2017
|
Mehdi Noroozi
Hamed Pirsiavash
Paolo Favaro
|
1
|
|
+
|
Multi-task Self-Supervised Visual Learning
|
2017
|
Carl Doersch
Andrew Zisserman
|
1
|
|
+
|
Representation Learning with Contrastive Predictive Coding
|
2018
|
Aäron van den Oord
Yazhe Li
Oriol Vinyals
|
1
|
|
+
PDF
Chat
|
A Zero-Shot Framework for Sketch Based Image Retrieval
|
2018
|
Sasi Kiran Yelamarthi
Shiva Krishna Reddy
Ashish Mishra
Anurag Mittal
|
1
|
|
+
|
Bag of Freebies for Training Object Detection Neural Networks
|
2019
|
Zhi Zhang
Tong He
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
|
1
|
|
+
|
Local Aggregation for Unsupervised Learning of Visual Embeddings
|
2019
|
Chengxu Zhuang
Alex Zhai
Daniel Yamins
|
1
|
|
+
|
Fast AutoAugment.
|
2019
|
Sungbin Lim
Ildoo Kim
Taesup Kim
Chiheon Kim
Sungwoong Kim
|
1
|
|
+
|
Data-Efficient Image Recognition with Contrastive Predictive Coding
|
2019
|
Olivier J. Hénaff
Aravind Srinivas
Jeffrey De Fauw
Ali Razavi
Carl Doersch
S. M. Ali Eslami
Aäron van den Oord
|
1
|
|
+
PDF
Chat
|
Hybrid-Attention Based Decoupled Metric Learning for Zero-Shot Image Retrieval
|
2019
|
Binghui Chen
Weihong Deng
|
1
|
|
+
|
Contrastive Multiview Coding
|
2019
|
Yonglong Tian
Dilip Krishnan
Phillip Isola
|
1
|
|
+
|
Feature Pyramid Networks for Object Detection
|
2016
|
Tsung-Yi Lin
Piotr Dollár
Ross Girshick
Kaiming He
Bharath Hariharan
Serge Belongie
|
1
|
|
+
|
Deep Clustering for Unsupervised Learning of Visual Features
|
2018
|
Mathilde Caron
Piotr Bojanowski
Armand Joulin
Matthijs Douze
|
1
|
|
+
|
Towards better decoding and language model integration in sequence to sequence models
|
2016
|
Jan Chorowski
Navdeep Jaitly
|
1
|
|
+
|
Manifold Mixup: Better Representations by Interpolating Hidden States.
|
2018
|
Vikas Verma
Alex Lamb
Christopher Beckham
Amir Najafi
Ioannis Mitliagkas
Aaron Courville
David López-Paz
Yoshua Bengio
|
1
|
|
+
|
Learning deep representations by mutual information estimation and maximization
|
2018
|
R Devon Hjelm
Alex Fedorov
Samuel Lavoie-Marchildon
Karan Grewal
Phil Bachman
Adam Trischler
Yoshua Bengio
|
1
|
|
+
|
Revisiting Self-Supervised Visual Representation Learning
|
2019
|
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
|
1
|
|
+
|
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
|
2015
|
Shaoqing Ren
Kaiming He
Ross Girshick
Jian Sun
|
1
|
|
+
PDF
Chat
|
Attention-Based Ensemble for Deep Metric Learning
|
2018
|
Wonsik Kim
Bhavya Goyal
Kunal Chawla
Jung-Min Lee
Keunjoo Kwon
|
1
|
|
+
PDF
Chat
|
Zero-Shot Sketch-Image Hashing
|
2018
|
Yuming Shen
Li Liu
Fumin Shen
Ling Shao
|
1
|
|
+
PDF
Chat
|
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
|
2018
|
Peng Xu
Yongye Huang
Tongtong Yuan
Kaiyue Pang
Yi-Zhe Song
Tao Xiang
Timothy M. Hospedales
Zhanyu Ma
Jun Guo
|
1
|
|
+
|
mixup: Beyond Empirical Risk Minimization
|
2017
|
Hongyi Zhang
Moustapha Cissé
Yann Dauphin
David López-Paz
|
1
|
|
+
|
Attention is All you Need
|
2017
|
Ashish Vaswani
Noam Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan N. Gomez
Łukasz Kaiser
Illia Polosukhin
|
1
|
|
+
PDF
Chat
|
Zero-Shot Learning via Semantic Similarity Embedding
|
2015
|
Ziming Zhang
Venkatesh Saligrama
|
1
|
|
+
PDF
Chat
|
Semi-Heterogeneous Three-Way Joint Embedding Network for Sketch-Based Image Retrieval
|
2019
|
Jianjun Lei
Yuxin Song
Bo Peng
Zhanyu Ma
Ling Shao
Yi-Zhe Song
|
1
|
|
+
|
Large Scale Adversarial Representation Learning
|
2019
|
Jeff Donahue
Karen Simonyan
|
1
|
|
+
|
PyTorch: An Imperative Style, High-Performance Deep Learning Library
|
2019
|
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
Gregory Chanan
Trevor Killeen
Zeming Lin
Natalia Gimelshein
Luca Antiga
|
1
|
|
+
PDF
Chat
|
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
|
2019
|
Mang Ye
Xu Zhang
Pong C. Yuen
Shih‐Fu Chang
|
1
|
|
+
|
Momentum Contrast for Unsupervised Visual Representation Learning
|
2019
|
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross Girshick
|
1
|
|
+
PDF
Chat
|
Unsupervised Pre-Training of Image Features on Non-Curated Data
|
2019
|
Mathilde Caron
Piotr Bojanowski
Julien Mairal
Armand Joulin
|
1
|
|
+
PDF
Chat
|
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
|
2019
|
Sangdoo Yun
Dongyoon Han
Sanghyuk Chun
Seong Joon Oh
Youngjoon Yoo
Junsuk Choe
|
1
|
|
+
|
Self-Supervised Learning of Pretext-Invariant Representations
|
2019
|
Ishan Misra
Laurens van der Maaten
|
1
|
|
+
|
A Simple Framework for Contrastive Learning of Visual Representations
|
2020
|
Ting Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
|
1
|
|
+
|
Improved Baselines with Momentum Contrastive Learning
|
2020
|
Xinlei Chen
Haoqi Fan
Ross Girshick
Kaiming He
|
1
|
|
+
PDF
Chat
|
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval
|
2020
|
Ayan Kumar Bhunia
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
|
1
|
|
+
PDF
Chat
|
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt
|
2020
|
Hangyu Lin
Yanwei Fu
Xiangyang Xue
Yu‐Gang Jiang
|
1
|
|
+
|
Bootstrap your own latent: A new approach to self-supervised Learning
|
2020
|
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre H. Richemond
Elena Buchatskaya
Carl Doersch
Bernardo Ávila Pires
Zhaohan Daniel Guo
Mohammad Gheshlaghi Azar
|
1
|
|
+
|
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
|
2020
|
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
|
1
|
|
+
PDF
Chat
|
Deep Self-Supervised Representation Learning for Free-Hand Sketch
|
2020
|
Peng Xu
Zeyu Song
Qiyue Yin
Yi-Zhe Song
Liang Wang
|
1
|