Deep Pyramidal Residual Networks

10 October 2016

Papers citing "Deep Pyramidal Residual Networks"

50 / 135 papers shown

Title
Knowledge Distillation for Speech Denoising by Latent Representation Alignment with Cosine Distance Diep Luong Mikko Heikkinen Konstantinos Drossos Tuomas Virtanen 62 0 0 06 May 2025
Mitigating Bias in Facial Recognition Systems: Centroid Fairness Loss Optimization Jean-Rémy Conti Stéphan Clémençon 27 0 0 27 Apr 2025
An Empirical Study of the Impact of Federated Learning on Machine Learning Model Accuracy Haotian Yang Junyao Xing Benson Chou Sophie Xu Hao Wang Jingxian Wang Qizhen Zhang FedML 98 0 0 26 Mar 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang 71 1 0 12 Jun 2024
Development of Skip Connection in Deep Neural Networks for Computer Vision and Medical Image Analysis: A Survey Guoping Xu Xiaxia Wang Xinglong Wu Xuesong Leng Yongchao Xu 3DPC 48 8 0 02 May 2024
Single Image Super-Resolution Based on Global-Local Information Synergy Nianzu Qiao Lamei Di Changyin Sun SupR 45 0 0 02 May 2024
Effective Gradient Sample Size via Variation Estimation for Accelerating Sharpness aware Minimization Jiaxin Deng Junbiao Pang Baochang Zhang Tian Wang 48 1 0 24 Feb 2024
ContextMix: A context-aware data augmentation method for industrial visual inspection systems Hyungmin Kim Donghun Kim Pyunghwan Ahn Sungho Suh Hansang Cho Junmo Kim 36 2 0 18 Jan 2024
DeepThalamus: A novel deep learning method for automatic segmentation of brain thalamic nuclei from multimodal ultra-high resolution MRI Marina Ruiz-Perez Sergio Morell-Ortega Marien Gadea Roberto Vivó Hernando Gregorio Rubio F. Aparici-Robles M. Iglesia-Vayá T. Tourdias Pierrick Coupé J. V. Manjón 27 0 0 15 Jan 2024
Gramian Attention Heads are Strong yet Efficient Vision Learners Jongbin Ryu Dongyoon Han J. Lim 43 1 0 25 Oct 2023
Bidirectional Looking with A Novel Double Exponential Moving Average to Adaptive and Non-adaptive Momentum Optimizers Yineng Chen Z. Li Lefei Zhang Bo Du Hai Zhao 38 4 0 02 Jul 2023
Survey of Automatic Plankton Image Recognition: Challenges, Existing Solutions and Future Perspectives T. Eerola Daniel Batrakhanov Nastaran Vatankhah Barazandeh K. Kraft Lumi Haraguchi L. Lensu S. Suikkanen Jukka Seppälä T. Tamminen Heikki Kälviäinen 33 11 0 19 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 37 1 0 04 May 2023
An Adaptive Policy to Employ Sharpness-Aware Minimization Weisen Jiang Hansi Yang Yu Zhang James T. Kwok AAML 83 32 0 28 Apr 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 32 1 0 20 Apr 2023
Constructing Deep Spiking Neural Networks from Artificial Neural Networks with Knowledge Distillation Qi Xu Yaxin Li Jiangrong Shen Jian K. Liu Huajin Tang Gang Pan 27 62 0 12 Apr 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 49 36 0 10 Feb 2023
Pathologies of Predictive Diversity in Deep Ensembles Taiga Abe E. Kelly Buchanan Geoff Pleiss John P. Cunningham UQCV 45 13 0 01 Feb 2023
Towards NeuroAI: Introducing Neuronal Diversity into Artificial Neural Networks Fenglei Fan Yingxin Li Hanchuan Peng T. Zeng Fei Wang 33 5 0 23 Jan 2023
Generalizable Black-Box Adversarial Attack with Meta Learning Fei Yin Yong Zhang Baoyuan Wu Yan Feng Jingyi Zhang Yanbo Fan Yujiu Yang AAML 39 27 0 01 Jan 2023
An Efficient Evolutionary Deep Learning Framework Based on Multi-source Transfer Learning to Evolve Deep Convolutional Neural Networks Bin Wang Bing Xue Mengjie Zhang 20 0 0 07 Dec 2022
Nonlinear Advantage: Trained Networks Might Not Be As Complex as You Think Christian H. X. Ali Mehmeti-Göpel Jan Disselhoff 18 5 0 30 Nov 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin J. Hopcroft 29 2 0 15 Nov 2022
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition Jean-Rémy Conti Stéphan Clémençon UQCV 19 3 0 14 Nov 2022
K-SAM: Sharpness-Aware Minimization at the Speed of SGD Renkun Ni Ping Yeh-Chiang Jonas Geiping Micah Goldblum A. Wilson Tom Goldstein 26 8 0 23 Oct 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 31 37 0 12 Oct 2022
Learning Symbolic Model-Agnostic Loss Functions via Meta-Learning Christian Raymond Qi Chen Bing Xue Mengjie Zhang FedML 35 11 0 19 Sep 2022
SubFace: Learning with Softmax Approximation for Face Recognition Hongwei Xu Suncheng Xiang Xiaobo Li CVBM 30 1 0 24 Aug 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey Dalin Zhang Kaixuan Chen Yan Zhao B. Yang Li-Ping Yao Christian S. Jensen 53 3 0 22 Aug 2022
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness Francesco Pinto Harry Yang Ser-Nam Lim Philip Torr P. Dokania UQCV 42 34 0 29 Jun 2022
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search Taehyeon Kim Heesoo Myeong Se-Young Yun 42 2 0 27 Jun 2022
A Pixel-based Encryption Method for Privacy-Preserving Deep Learning Models Ijaz Ahmad Seokjoo Shin 27 6 0 31 Mar 2022
Generalizing Few-Shot NAS with Gradient Matching Shou-Yong Hu Ruochen Wang Lanqing Hong Zhenguo Li Cho-Jui Hsieh Jiashi Feng 32 23 0 29 Mar 2022
Channel Self-Supervision for Online Knowledge Distillation Shixi Fan Xuan Cheng Xiaomin Wang Chun Yang Pan Deng Minghui Liu Jiali Deng Meilin Liu 18 1 0 22 Mar 2022
RecursiveMix: Mixed Learning with History Lingfeng Yang Xiang Li Borui Zhao Renjie Song Jian Yang VLM 36 18 0 14 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 26 49 0 25 Feb 2022
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning Yang Zhao Hao Zhang Xiuyuan Hu 38 116 0 08 Feb 2022
When Do Flat Minima Optimizers Work? Jean Kaddour Linqing Liu Ricardo M. A. Silva Matt J. Kusner ODL 31 58 0 01 Feb 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 32 34 0 20 Jan 2022
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks Yang Zhao Hao Zhang 24 2 0 16 Jan 2022
OneDConv: Generalized Convolution For Transform-Invariant Representation Tong Zhang Haohan Weng Ke Yi Chong Chen 24 0 0 15 Jan 2022
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks C. F. G. Santos João Paulo Papa 35 215 0 10 Jan 2022
Saliency Grafting: Innocuous Attribution-Guided Mixup with Calibrated Label Mixing Joonhyung Park J. Yang Jinwoo Shin Sung Ju Hwang Eunho Yang 38 23 0 16 Dec 2021
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models Biying Fu Naser Damer AAML CVBM 29 10 0 09 Dec 2021
Adaptive Perturbation for Adversarial Attack Zheng Yuan Jie Zhang Zhaoyan Jiang Liangliang Li Shiguang Shan AAML 32 3 0 27 Nov 2021
PAM: Pose Attention Module for Pose-Invariant Face Recognition En-Jung Tsai W. Yeh CVBM 25 5 0 23 Nov 2021
Finding Optimal Tangent Points for Reducing Distortions of Hard-label Attacks Chen Ma Xiangyu Guo Li Chen Junhai Yong Yisen Wang AAML 31 16 0 15 Nov 2021
LogAvgExp Provides a Principled and Performant Global Pooling Operator S. Lowe Thomas Trappenberg Sageev Oore FAtt 26 2 0 02 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 19 13 0 31 Oct 2021
A Deep Insight into Measuring Face Image Utility with General and Face-specific Image Quality Metrics Biying Fu Congmin Chen O. Henniger Naser Damer CVBM 26 20 0 21 Oct 2021