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2007.00992
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Rethinking Channel Dimensions for Efficient Model Design
2 July 2020
Dongyoon Han
Sangdoo Yun
Byeongho Heo
Y. Yoo
3DV
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HuggingFace (1 upvotes)
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Papers citing
"Rethinking Channel Dimensions for Efficient Model Design"
34 / 34 papers shown
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Data-Efficient Challenges in Visual Inductive Priors: A Retrospective
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A BERT-Style Self-Supervised Learning CNN for Disease Identification from Retinal Images
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Sherry Wu
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Latent Space Translation via Inverse Relative Projection
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Emanuele Rodolà
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DenseNets Reloaded: Paradigm Shift Beyond ResNets and ViTs
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MathNAS: If Blocks Have a Role in Mathematical Architecture Design
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Latent Space Translation via Semantic Alignment
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Gramian Attention Heads are Strong yet Efficient Vision Learners
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From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication
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Luca Moschella
Marco Fumero
Valentino Maiorca
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322
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nnMobileNet: Rethinking CNN for Retinopathy Research
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Peijie Qiu
Xiwen Chen
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Natasha Lepore
Oana Dumitrascu
Yalin Wang
395
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Simplifying Momentum-based Positive-definite Submanifold Optimization with Applications to Deep Learning
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Valentin Duruisseaux
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Frank Nielsen
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Out of Distribution Performance of State of Art Vision Model
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Two-branch Multi-scale Deep Neural Network for Generalized Document Recapture Attack Detection
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Haoliang Li
194
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Similarity of Neural Architectures using Adversarial Attack Transferability
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Ian Ryu
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Byeongho Heo
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Jong-Seok Lee
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The Lie Derivative for Measuring Learned Equivariance
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Nate Gruver
Marc Finzi
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Relative representations enable zero-shot latent space communication
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Luca Moschella
Valentino Maiorca
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465
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Exploring Advances in Transformers and CNN for Skin Lesion Diagnosis on Small Datasets
Brazilian Conference on Intelligent Systems (BRACIS), 2022
Leandro M. de Lima
R. Krohling
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182
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Improving the Transferability of Adversarial Examples with Restructure Embedded Patches
Huipeng Zhou
Yu-an Tan
Yajie Wang
Haoran Lyu
Shan-Hung Wu
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138
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Boosting Adversarial Transferability of MLP-Mixer
Haoran Lyu
Yajie Wang
Yu-an Tan
Huipeng Zhou
Yuhang Zhao
Quan-xin Zhang
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224
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CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters
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Paul Gavrikov
J. Keuper
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318
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Navigating Neural Space: Revisiting Concept Activation Vectors to Overcome Directional Divergence
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Frederik Pahde
Maximilian Dreyer
Leander Weber
Moritz Weckbecker
Christopher J. Anders
Thomas Wiegand
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516
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Learning Features with Parameter-Free Layers
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Dongyoon Han
Y. Yoo
Beomyoung Kim
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VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
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Robert-Jan Bruintjes
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Davide Zambrano
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Buildings Classification using Very High Resolution Satellite Imagery
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Rethinking Spatial Dimensions of Vision Transformers
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FaceX-Zoo: A PyTorch Toolbox for Face Recognition
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Yinglu Liu
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