"convolutional neural networks" Papers
39 papers found
Conference
Adaptive Rectangular Convolution for Remote Sensing Pansharpening
Xueyang Wang, Zhixin Zheng, Jiandong Shao et al.
As large as it gets – Studying Infinitely Large Convolutions via Neural Implicit Frequency Filters
Margret Keuper, Julia Grabinski, Janis Keuper
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
Chengkun Sun, Jinqian Pan, Zhuoli Jin et al.
Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification
Simone Azeglio, Olivier Marre, Peter Neri et al.
DiCo: Revitalizing ConvNets for Scalable and Efficient Diffusion Modeling
Yuang Ai, Qihang Fan, Xuefeng Hu et al.
Fourier Analysis Network
Yihong Dong, Ge Li, Yongding Tao et al.
From Linear to Nonlinear: Provable Weak-to-Strong Generalization through Feature Learning
Junsoo Oh, Jerry Song, Chulhee Yun
Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin et al.
ImageNet-trained CNNs are not biased towards texture: Revisiting feature reliance through controlled suppression
Tom Burgert, Oliver Stoll, Paolo Rota et al.
LayerAct: Advanced Activation Mechanism for Robust Inference of CNNs
Kihyuk Yoon, Chiehyeon Lim
msf-CNN: Patch-based Multi-Stage Fusion with Convolutional Neural Networks for TinyML
Zhaolan Huang, Emmanuel Baccelli
Optimal Brain Apoptosis
Mingyuan Sun, Zheng Fang, Jiaxu Wang et al.
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization
Zeqin Yu, Jiangqun Ni, Jian Zhang et al.
Reverse Convolution and Its Applications to Image Restoration
Xuhong Huang, Shiqi Liu, Kai Zhang et al.
Towards Understanding Why FixMatch Generalizes Better Than Supervised Learning
Jingyang Li, Jiachun Pan, Vincent Tan et al.
Vision CNNs trained to estimate spatial latents learned similar ventral-stream-aligned representations
Yudi Xie, Weichen Huang, Esther Alter et al.
A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks
Boqi Li, Weiwei Liu
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Minsoo Kang, Minkoo Kang, Suhyun Kim
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu
Entropy Induced Pruning Framework for Convolutional Neural Networks
Yiheng Lu, Ziyu Guan, Yaming Yang et al.
FedHARM: Harmonizing Model Architectural Diversity in Federated Learning
Anestis Kastellos, Athanasios Psaltis, Charalampos Z Patrikakis et al.
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
Wenbo Qi, Jiafei Wu, S. C. Chan
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto Tomasini, Matthieu Wyart
Is Kernel Prediction More Powerful than Gating in Convolutional Neural Networks?
Lorenz K. Muller
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
Tom Nuno Wolf, Fabian Bongratz, Anne-Marie Rickmann et al.
Linking in Style: Understanding learned features in deep learning models
Maren Wehrheim, Pamela Osuna Vargas, Matthias Kaschube
Make RepVGG Greater Again: A Quantization-Aware Approach
Xuesong Nie, Yunfeng Yan, Siyuan Li et al.
Multiscale Low-Frequency Memory Network for Improved Feature Extraction in Convolutional Neural Networks
Fuzhi Wu, Jiasong Wu, Youyong Kong et al.
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert et al.
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar, Daneul Kim, Jaesik Park et al.
Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective
Yajie Bao, Michael Crawshaw, Mingrui Liu
Quantization-Friendly Winograd Transformations for Convolutional Neural Networks
Vladimir Protsenko, Vladimir Kryzhanovskiy, Alexander Filippov
ResDiff: Combining CNN and Diffusion Model for Image Super-resolution
Shuyao Shang, Zhengyang Shan, Guangxing Liu et al.
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness
Honghao Chen, Zhang Yurong, xiaokun Feng et al.
Sample-specific Masks for Visual Reprogramming-based Prompting
Chengyi Cai, Zesheng Ye, Lei Feng et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
UniRepLKNet: A Universal Perception Large-Kernel ConvNet for Audio Video Point Cloud Time-Series and Image Recognition
Xiaohan Ding, Yiyuan Zhang, Yixiao Ge et al.
VideoMAC: Video Masked Autoencoders Meet ConvNets
Gensheng Pei, Tao Chen, Xiruo Jiang et al.
Which Frequencies do CNNs Need? Emergent Bottleneck Structure in Feature Learning
Yuxiao Wen, Arthur Jacot