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1904.11486
Cited By
Making Convolutional Networks Shift-Invariant Again
25 April 2019
Richard Y. Zhang
OOD
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Papers citing
"Making Convolutional Networks Shift-Invariant Again"
50 / 175 papers shown
Title
On the Strong Correlation Between Model Invariance and Generalization
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Convolutional layers are equivariant to discrete shifts but not continuous translations
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Ammar Hakim
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Learning with Capsules: A Survey
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Kevin Duarte
Miles Everett
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Saliency Map Based Data Augmentation
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Training Efficient CNNS: Tweaking the Nuts and Bolts of Neural Networks for Lighter, Faster and Robust Models
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B. Bolla
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23 May 2022
Test-time Batch Normalization
Tao Yang
Shenglong Zhou
Yuwang Wang
Yan Lu
Nanning Zheng
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57
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20 May 2022
What is an equivariant neural network?
Lek-Heng Lim
Bradley J. Nelson
BDL
FedML
MLT
32
22
0
15 May 2022
LightDefectNet: A Highly Compact Deep Anti-Aliased Attention Condenser Neural Network Architecture for Light Guide Plate Surface Defect Detection
Carol Xu
M. Famouri
Gautam Bathla
M. Shafiee
Alexander Wong
33
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Real-World Deep Local Motion Deblurring
Haoying Li
Ziran Zhang
Tingting Jiang
Peng Luo
H. Feng
Zhihai Xu
30
27
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18 Apr 2022
Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training
Yuanhao Cai
Xiaowan Hu
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Yulun Zhang
Hanspeter Pfister
D. Wei
26
64
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Sem2NeRF: Converting Single-View Semantic Masks to Neural Radiance Fields
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Chuanxia Zheng
Tat-Jen Cham
Jianfei Cai
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Kyle Quinn
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Andrei Ivaniuta
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Daniele Angioni
Angelo Sotgiu
Christian Scano
Ambra Demontis
Battista Biggio
Fabio Roli
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49
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07 Mar 2022
How Do Vision Transformers Work?
Namuk Park
Songkuk Kim
ViT
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466
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Feature-level augmentation to improve robustness of deep neural networks to affine transformations
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Mariana-Iuliana Georgescu
Radu Tudor Ionescu
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Learning strides in convolutional neural networks
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Ensembling Off-the-shelf Models for GAN Training
Nupur Kumari
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Eli Shechtman
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Karsten Kreis
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Score-Based Generative Modeling with Critically-Damped Langevin Diffusion
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Karsten Kreis
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Deep ViT Features as Dense Visual Descriptors
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Yossi Gandelsman
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HeadNeRF: A Real-time NeRF-based Parametric Head Model
Yang Hong
Bo Peng
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Ligang Liu
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Fast Point Transformer
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169
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A Systematic Review of Robustness in Deep Learning for Computer Vision: Mind the gap?
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Numair Sani
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Exploration into Translation-Equivariant Image Quantization
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Gyubok Lee
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Eun-Young Lyou
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30 Nov 2021
Improved Robustness of Vision Transformer via PreLayerNorm in Patch Embedding
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Hyeyeon Choi
Hyeonah Jang
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8
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16 Nov 2021
Enabling equivariance for arbitrary Lie groups
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Contrastive Feature Loss for Image Prediction
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12 Nov 2021
Blending Anti-Aliasing into Vision Transformer
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Hao Shao
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28
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107
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26 Oct 2021
StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis
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Lingjie Liu
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552
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FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes
David W. Romero
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80
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A study of the robustness of raw waveform based speaker embeddings under mismatched conditions
Ge Zhu
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Score-based diffusion models for accelerated MRI
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DiffM
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Large-Scale Topological Radar Localization Using Learned Descriptors
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Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
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Adversarial Robustness Comparison of Vision Transformer and MLP-Mixer to CNNs
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Anti-aliasing Deep Image Classifiers using Novel Depth Adaptive Blurring and Activation Function
Md Tahmid Hossain
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ML4ML: Automated Invariance Testing for Machine Learning Models
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AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning
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