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Supervised Discrete Hashing
|
2015
|
Fumin Shen
Chunhua Shen
Wei Liu
Heng Tao Shen
|
3
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+
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Fast Supervised Discrete Hashing
|
2017
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Jie Gui
Tongliang Liu
Zhenan Sun
Dacheng Tao
Tieniu Tan
|
3
|
+
PDF
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Deep Residual Learning for Image Recognition
|
2016
|
Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
|
2
|
+
PDF
Chat
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Swin Transformer V2: Scaling Up Capacity and Resolution
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2022
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Ze Liu
Han Hu
Yutong Lin
Zhuliang Yao
Zhenda Xie
Yixuan Wei
Ning Jia
Yue Cao
Zheng Zhang
Li Dong
|
2
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+
PDF
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Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions
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2021
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Wenhai Wang
Enze Xie
Xiang Li
Deng-Ping Fan
Kaitao Song
Ding Liang
Tong LĂŒ
Ping Luo
Ling Shao
|
2
|
+
PDF
Chat
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Deep Semantic Hashing with Generative Adversarial Networks
|
2017
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Zhaofan Qiu
Yingwei Pan
Ting Yao
Tao Mei
|
2
|
+
PDF
Chat
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CvT: Introducing Convolutions to Vision Transformers
|
2021
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Haiping Wu
Bin Xiao
Noel Codella
Mengchen Liu
Xiyang Dai
Lu Yuan
Lei Zhang
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2
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+
PDF
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Auto-Encoding Twin-Bottleneck Hashing
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2020
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Yuming Shen
Jie Qin
Jiaxin Chen
Mengyang Yu
Li Liu
Fan Zhu
Fumin Shen
Ling Shao
|
2
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+
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Object Detection based Deep Unsupervised Hashing
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2019
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Rong-Cheng Tu
Xian-Ling Mao
Bo-Si Feng
Shuying Yu
|
2
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+
PDF
Chat
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CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows
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2022
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Xiaoyi Dong
Jianmin Bao
Dongdong Chen
Weiming Zhang
Nenghai Yu
Lu Yuan
Dong Chen
Baining Guo
|
2
|
+
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CoAtNet: Marrying Convolution and Attention for All Data Sizes
|
2021
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Zihang Dai
Hanxiao Liu
Quoc V. Le
Mingxing Tan
|
2
|
+
PDF
Chat
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ConViT: improving vision transformers with soft convolutional inductive biases*
|
2022
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StĂ©phane dâAscoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
|
2
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+
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Twins: Revisiting the Design of Spatial Attention in Vision Transformers
|
2021
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Xiangxiang Chu
Zhi Tian
Yuqing Wang
Bo Zhang
Haibing Ren
Xiaolin Wei
Huaxia Xia
Chunhua Shen
|
2
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+
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Visformer: The Vision-friendly Transformer
|
2021
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Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
|
2
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+
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Deep Cross-Modal Hashing With Hashing Functions and Unified Hash Codes Jointly Learning
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2020
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Rong-Cheng Tu
Xian-Ling Mao
Bing Ma
Yong Hu
Yan Tan
Wei Wei
Heyan Huang
|
2
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Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
|
2021
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Ze Liu
Yutong Lin
Yue Cao
Han Hu
Yixuan Wei
Zheng Zhang
Stephen Lin
Baining Guo
|
2
|
+
PDF
Chat
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Bottleneck Transformers for Visual Recognition
|
2021
|
Aravind Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
|
2
|
+
PDF
Chat
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Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer
|
2022
|
Yifan Xu
Zhijie Zhang
Mengdan Zhang
Kekai Sheng
Ke Li
Weiming Dong
Liqing Zhang
Changsheng Xu
Xing Sun
|
2
|
+
PDF
Chat
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DaViT: Dual Attention Vision Transformers
|
2022
|
Mingyu Ding
Bin Xiao
Noel Codella
Ping Luo
Jingdong Wang
Lu Yuan
|
2
|
+
PDF
Chat
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Cross-Modal Zero-Shot Hashing
|
2019
|
Xuanwu Liu
Zhao Li
Jun Wang
Guoxian Yu
Carlotta Domenicon
Xiangliang Zhang
|
2
|
+
PDF
Chat
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DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs
|
2019
|
Erkun Yang
Tongliang Liu
Cheng Deng
Wei Liu
Dacheng Tao
|
2
|
+
PDF
Chat
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PCA Based Hurst Exponent Estimator for fBm Signals Under Disturbances
|
2009
|
Li Li
Jianming Hu
Yudong Chen
Yi Zhang
|
2
|
+
PDF
Chat
|
Scaling Vision Transformers
|
2022
|
Xiaohua Zhai
Alexander Kolesnikov
Neil Houlsby
Lucas Beyer
|
2
|
+
PDF
Chat
|
Asymmetric Deep Supervised Hashing
|
2018
|
Qing-Yuan Jiang
Wu-Jun Li
|
2
|
+
|
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
|
2021
|
Yongming Rao
Wenliang Zhao
Benlin Liu
Jiwen Lu
Jie Zhou
ChoâJui Hsieh
|
2
|
+
|
Eigenvalues of Integral Operators Defined by Smooth Positive Definite Kernels
|
2009
|
José Claudinei Ferreira
Vâ. âAâ. Menegatto
|
1
|
+
PDF
Chat
|
Aggregated Residual Transformations for Deep Neural Networks
|
2017
|
Saining Xie
Ross Girshick
Piotr DollĂĄr
Zhuowen Tu
Kaiming He
|
1
|
+
PDF
Chat
|
Xception: Deep Learning with Depthwise Separable Convolutions
|
2017
|
François Chollet
|
1
|
+
PDF
Chat
|
Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations
|
2017
|
Ahmet Ä°Ćcen
Giorgos Tolias
Yannis Avrithis
Teddy Furon
OndĆej Chum
|
1
|
+
|
A degenerate kernel method for eigenvalue problems of compact integral operators
|
2006
|
N. Gnaneshwar
|
1
|
+
|
A series expansion approach to the inverse problem
|
1998
|
J. M. Angulo
M. D. RuizâMedina
|
1
|
+
|
Eigenvalue distribution of Mercerâlike kernels
|
2007
|
Jorge Buescu
A. C. PaixĂŁo
|
1
|
+
|
Introduction to spectral theory : with applications to Schrödinger operators
|
1996
|
Peter D. Hislop
Israel Michael Sigal
|
1
|
+
PDF
Chat
|
Principal Component Analysis of Fractional Brownian Motion
|
2008
|
Li Li
Zhiheng Li
Yi Zhang
Yudong Chen
|
1
|
+
|
On the calculation of fractal features from images
|
1993
|
S.S. Chen
James M. Keller
Richard M. Crownover
|
1
|
+
PDF
Chat
|
Kreinâs spectral theory and the PaleyâWiener expansion for fractional Brownian motion
|
2005
|
Kacha Dzhaparidze
Harry van Zanten
|
1
|
+
PDF
Chat
|
Analysis of Approximation Methods for Differential and Integral Equations.
|
1988
|
P. M. Anselone
H.-J. Reinhardt
|
1
|
+
|
A Short Course on Banach Space Theory
|
2004
|
N. L. Carothers
|
1
|
+
|
Introduction to the non-asymptotic analysis of random matrices
|
2010
|
Roman Vershynin
|
1
|
+
|
Stochastic Generative Hashing
|
2017
|
Bo Dai
Ruiqi Guo
Sanjiv Kumar
Niao He
Le Song
|
1
|
+
|
Functions of positive and negative type, and their connection with the theory of integral equations
|
1909
|
James W. Mercer
|
1
|
+
|
XVI. Functions of positive and negative type, and their connection the theory of integral equations
|
1909
|
James W. Mercer
|
1
|
+
PDF
Chat
|
Visual Tracking via Dynamic Graph Learning
|
2018
|
Chenglong Li
Liang Lin
Wangmeng Zuo
Jin Tang
MingâHsuan Yang
|
1
|
+
|
Feature Learning based Deep Supervised Hashing with Pairwise Labels
|
2015
|
Wu-Jun Li
Sheng Wang
Wang-Cheng Kang
|
1
|
+
PDF
Chat
|
HashNet: Deep Learning to Hash by Continuation
|
2017
|
Zhangjie Cao
Mingsheng Long
Jianmin Wang
Philip S. Yu
|
1
|
+
|
High-dimensional regression with noisy and missing data: Provable guarantees with nonconvexity
|
2012
|
PoâLing Loh
Martin J. Wainwright
|
1
|
+
PDF
Chat
|
Optimal Projection Guided Transfer Hashing for Image Retrieval
|
2019
|
Lei Zhang
Ji Liu
Yang Yang
Fuxiang Huang
Feiping Nie
David Zhang
|
1
|
+
|
Binary Generative Adversarial Networks for Image Retrieval
|
2017
|
Jingkuan Song
|
1
|
+
PDF
Chat
|
MobileNetV2: Inverted Residuals and Linear Bottlenecks
|
2018
|
Mark Sandler
Andrew Howard
Menglong Zhu
Andrey Zhmoginov
Liang-Chieh Chen
|
1
|
+
PDF
Chat
|
Going deeper with convolutions
|
2015
|
Christian Szegedy
Wei Liu
Yangqing Jia
Pierre Sermanet
Scott Reed
Dragomir Anguelov
Dumitru Erhan
Vincent Vanhoucke
Andrew Rabinovich
|
1
|