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ImageSig: A signature transform for ultra-lightweight image recognition

ImageSig: A signature transform for ultra-lightweight image recognition

13 May 2022
Mohamed Ramzy Ibrahim
Terry Lyons
    VLM
ArXivPDFHTML

Papers citing "ImageSig: A signature transform for ultra-lightweight image recognition"

41 / 41 papers shown
Title
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision
  Transformer
MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer
Sachin Mehta
Mohammad Rastegari
ViT
280
1,268
0
05 Oct 2021
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Perceiver IO: A General Architecture for Structured Inputs & Outputs
Andrew Jaegle
Sebastian Borgeaud
Jean-Baptiste Alayrac
Carl Doersch
Catalin Ionescu
...
Olivier J. Hénaff
M. Botvinick
Andrew Zisserman
Oriol Vinyals
João Carreira
MLLM
VLM
GNN
64
579
0
30 Jul 2021
How to train your ViT? Data, Augmentation, and Regularization in Vision
  Transformers
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
Andreas Steiner
Alexander Kolesnikov
Xiaohua Zhai
Ross Wightman
Jakob Uszkoreit
Lucas Beyer
ViT
107
632
0
18 Jun 2021
When Vision Transformers Outperform ResNets without Pre-training or
  Strong Data Augmentations
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations
Xiangning Chen
Cho-Jui Hsieh
Boqing Gong
ViT
84
328
0
03 Jun 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
411
2,673
0
04 May 2021
Escaping the Big Data Paradigm with Compact Transformers
Escaping the Big Data Paradigm with Compact Transformers
Ali Hassani
Steven Walton
Nikhil Shah
Abulikemu Abuduweili
Jiachen Li
Humphrey Shi
115
462
0
12 Apr 2021
ConViT: Improving Vision Transformers with Soft Convolutional Inductive
  Biases
ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases
Stéphane dÁscoli
Hugo Touvron
Matthew L. Leavitt
Ari S. Morcos
Giulio Biroli
Levent Sagun
ViT
112
826
0
19 Mar 2021
Perceiver: General Perception with Iterative Attention
Perceiver: General Perception with Iterative Attention
Andrew Jaegle
Felix Gimeno
Andrew Brock
Andrew Zisserman
Oriol Vinyals
João Carreira
VLM
ViT
MDE
185
1,014
0
04 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
632
41,003
0
22 Oct 2020
DeLighT: Deep and Light-weight Transformer
DeLighT: Deep and Light-weight Transformer
Sachin Mehta
Marjan Ghazvininejad
Srini Iyer
Luke Zettlemoyer
Hannaneh Hajishirzi
VLM
57
32
0
03 Aug 2020
Training with Quantization Noise for Extreme Model Compression
Training with Quantization Noise for Extreme Model Compression
Angela Fan
Pierre Stock
Benjamin Graham
Edouard Grave
Remi Gribonval
Hervé Jégou
Armand Joulin
MQ
90
245
0
15 Apr 2020
Signatory: differentiable computations of the signature and logsignature
  transforms, on both CPU and GPU
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
Patrick Kidger
Terry Lyons
63
84
0
03 Jan 2020
WeatherNet: Recognising weather and visual conditions from street-level
  images using deep residual learning
WeatherNet: Recognising weather and visual conditions from street-level images using deep residual learning
M. Ibrahim
James Haworth
T. Cheng
85
64
0
22 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
221
3,485
0
30 Sep 2019
DiCENet: Dimension-wise Convolutions for Efficient Networks
DiCENet: Dimension-wise Convolutions for Efficient Networks
Sachin Mehta
Hannaneh Hajishirzi
Mohammad Rastegari
66
43
0
08 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
137
18,115
0
28 May 2019
Deep Signature Transforms
Deep Signature Transforms
Patrick Kidger
Patrick Kidger
Imanol Perez Arribas
C. Salvi
Terry Lyons
SLR
144
131
0
21 May 2019
Searching for MobileNetV3
Searching for MobileNetV3
Andrew G. Howard
Mark Sandler
Grace Chu
Liang-Chieh Chen
Bo Chen
...
Yukun Zhu
Ruoming Pang
Vijay Vasudevan
Quoc V. Le
Hartwig Adam
343
6,778
0
06 May 2019
ESPNetv2: A Light-weight, Power Efficient, and General Purpose
  Convolutional Neural Network
ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
Sachin Mehta
Mohammad Rastegari
Linda G. Shapiro
Hannaneh Hajishirzi
VLM
57
398
0
28 Nov 2018
MnasNet: Platform-Aware Neural Architecture Search for Mobile
MnasNet: Platform-Aware Neural Architecture Search for Mobile
Mingxing Tan
Bo Chen
Ruoming Pang
Vijay Vasudevan
Mark Sandler
Andrew G. Howard
Quoc V. Le
MQ
117
3,009
0
31 Jul 2018
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture
  Design
ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design
Ningning Ma
Xiangyu Zhang
Haitao Zheng
Jian Sun
174
4,987
0
30 Jul 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
178
19,271
0
13 Jan 2018
Quantization and Training of Neural Networks for Efficient
  Integer-Arithmetic-Only Inference
Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference
Benoit Jacob
S. Kligys
Bo Chen
Menglong Zhu
Matthew Tang
Andrew G. Howard
Hartwig Adam
Dmitry Kalenichenko
MQ
150
3,123
0
15 Dec 2017
The Effectiveness of Data Augmentation in Image Classification using
  Deep Learning
The Effectiveness of Data Augmentation in Image Classification using Deep Learning
Luis Perez
Jason Wang
80
2,786
0
13 Dec 2017
Focal Loss for Dense Object Detection
Focal Loss for Dense Object Detection
Nayeon Lee
Priya Goyal
Ross B. Girshick
Kaiming He
Piotr Dollár
ObjD
112
2,996
0
07 Aug 2017
Developing the Path Signature Methodology and its Application to
  Landmark-based Human Action Recognition
Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition
Weixin Yang
Terry Lyons
Hao Ni
Cordelia Schmid
Lianwen Jin
172
50
0
13 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.1K
20,832
0
17 Apr 2017
Incremental Network Quantization: Towards Lossless CNNs with
  Low-Precision Weights
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights
Aojun Zhou
Anbang Yao
Yiwen Guo
Lin Xu
Yurong Chen
MQ
384
1,051
0
10 Feb 2017
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
1.4K
14,555
0
07 Oct 2016
A Primer on the Signature Method in Machine Learning
A Primer on the Signature Method in Machine Learning
I. Chevyrev
Andrey Kormilitzin
488
216
0
11 Mar 2016
Quantized Convolutional Neural Networks for Mobile Devices
Quantized Convolutional Neural Networks for Mobile Devices
Jiaxiang Wu
Cong Leng
Yuhang Wang
Qinghao Hu
Jian Cheng
MQ
85
1,166
0
21 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
878
27,358
0
02 Dec 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
253
8,833
0
01 Oct 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
344
19,634
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
241
8,402
0
28 Nov 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
Rough paths, Signatures and the modelling of functions on streams
Rough paths, Signatures and the modelling of functions on streams
Terry Lyons
198
136
0
18 May 2014
PANDA: Pose Aligned Networks for Deep Attribute Modeling
PANDA: Pose Aligned Networks for Deep Attribute Modeling
Ning Zhang
Manohar Paluri
MarcÁurelio Ranzato
Trevor Darrell
Lubomir D. Bourdev
CVBM
144
530
0
21 Nov 2013
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