Rethinking Feature Distribution for Loss Functions in Image Classification

8 March 2018

Papers citing "Rethinking Feature Distribution for Loss Functions in Image Classification"

50 / 61 papers shown

Title
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 63 0 0 27 Apr 2025
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning Zhongren Yao Xiaobin Chang 39 0 0 20 Sep 2024
Pedestrian Attribute Recognition as Label-balanced Multi-label Learning Yibo Zhou Hai-Miao Hu Yirong Xiang Xiaokang Zhang Haotian Wu 47 3 0 08 May 2024
Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks Mikkel Jordahn Pablo Olmos 66 1 0 02 May 2024
Domain Adaptation Using Pseudo Labels S. Chhabra Hemanth Venkateswara Baoxin Li 40 1 0 09 Feb 2024
Generating Multi-Center Classifier via Conditional Gaussian Distribution Zhemin Zhang Xun Gong 36 0 0 29 Jan 2024
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 60 0 0 19 Oct 2023
Conditional Mutual Information Constrained Deep Learning for Classification En-Hui Yang Shayan Mohajer Hamidi Linfeng Ye Renhao Tan Beverly Yang 62 11 0 17 Sep 2023
Counterfactual Explanation via Search in Gaussian Mixture Distributed Latent Space Xuan Zhao Klaus Broelemann Gjergji Kasneci CML 23 0 0 25 Jul 2023
Variational Classification Shehzaad Dhuliawala Mrinmaya Sachan Carl Allen BDL 39 5 0 17 May 2023
Stationary Point Losses for Robust Model Weiwei Gao Dazhi Zhang Yao Li Zhichang Guo Ovanes Petrosian OOD 34 0 0 19 Feb 2023
SEAM: Searching Transferable Mixed-Precision Quantization Policy through Large Margin Regularization Chen Tang Kai Ouyang Zenghao Chai Yunpeng Bai Yuan Meng Zhi Wang Wenwu Zhu MQ 48 9 0 14 Feb 2023
Learning Compact Features via In-Training Representation Alignment X. Li Xiangrui Li Deng Pan Yao Qiang D. Zhu OOD 32 3 0 23 Nov 2022
What can we Learn by Predicting Accuracy? Olivier Risser-Maroix Benjamin Chamand 37 4 0 02 Aug 2022
Distribution Learning Based on Evolutionary Algorithm Assisted Deep Neural Networks for Imbalanced Image Classification Yudi Zhao K. Hao Chaochen Gu Bing Wei 29 1 0 26 Jul 2022
Batch-Ensemble Stochastic Neural Networks for Out-of-Distribution Detection Xiongjie Chen Yunpeng Li Yongxin Yang UQCV OODD 57 3 0 26 Jun 2022
Towards Feature Distribution Alignment and Diversity Enhancement for Data-Free Quantization Yangcheng Gao Zhao Zhang Richang Hong Haijun Zhang Jicong Fan Shuicheng Yan MQ 32 10 0 30 Apr 2022
Enhancing Classifier Conservativeness and Robustness by Polynomiality Ziqi Wang Marco Loog AAML 28 3 0 23 Mar 2022
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection Hanlei Zhang Huan Xu Shaojie Zhao Qianrui Zhou 40 19 0 11 Mar 2022
Deep Discriminative to Kernel Density Graph for In- and Out-of-distribution Calibrated Inference Jayanta Dey Haoyin Xu Will LeVine Ashwin De Silva Tyler M. Tomita Ali Geisa Tiffany Chu Jacob Desman Joshua T. Vogelstein UQCV 34 0 0 31 Jan 2022
The State of Aerial Surveillance: A Survey Kien Nguyen Thanh Clinton Fookes Sridha Sridharan Yingli Tian Feng Liu Xiaoming Liu Arun Ross 49 23 0 09 Jan 2022
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification Daizong Liu Wei Hu 3DPC 32 47 0 22 Nov 2021
Center Loss Regularization for Continual Learning Kaustubh Olpadkar Ekta Gavas CLL 46 1 0 21 Oct 2021
Introducing the DOME Activation Functions Mohamed E. Hussein Wael AbdAlmageed 35 1 0 30 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification Jiawei Ma Hanchen Xie G. Han Shih-Fu Chang Aram Galstyan Wael AbdAlmageed VLM 34 66 0 15 Sep 2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling Jiahuan Zhou Yansong Tang Fuchun Sun Ying Nian Wu 27 1 0 19 Jul 2021
An Orthogonal Classifier for Improving the Adversarial Robustness of Neural Networks Cong Xu Xiang Li Min Yang AAML 27 15 0 19 May 2021
Intra-Class Uncertainty Loss Function for Classification He Zhu Shan Yu UQCV 35 4 0 12 Apr 2021
Orthogonal Projection Loss Kanchana Ranasinghe Muzammal Naseer Munawar Hayat Salman Khan Fahad Shahbaz Khan VLM 27 69 0 25 Mar 2021
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features Dongliang Chang Yixiao Zheng Zhanyu Ma Ruoyi Du Kongming Liang 48 3 0 31 Jan 2021
DAIL: Dataset-Aware and Invariant Learning for Face Recognition Gaoang Wang Lin Chen Tianqiang Liu Ming He Jiebo Luo CVBM 39 5 0 14 Jan 2021
Shaping Deep Feature Space towards Gaussian Mixture for Visual Classification Weitao Wan Jiansheng Chen Cheng Yu Tong Wu Yuanyi Zhong Ming-Hsuan Yang 24 7 0 18 Nov 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 31 9 0 27 Oct 2020
Improve Adversarial Robustness via Weight Penalization on Classification Layer Cong Xu Dan Li Min Yang AAML 22 4 0 08 Oct 2020
Likelihood Landscapes: A Unifying Principle Behind Many Adversarial Defenses Fu-Huei Lin Rohit Mittapalli Prithvijit Chattopadhyay Daniel Bolya Judy Hoffman AAML 46 2 0 25 Aug 2020
FOOD: Fast Out-Of-Distribution Detector Guy Amit Moshe Levy Ishai Rosenberg A. Shabtai Yuval Elovici OODD 33 4 0 16 Aug 2020
Learning Posterior and Prior for Uncertainty Modeling in Person Re-Identification Yan Zhang Zhilin Zheng Binyu He Li Sun UQCV UD 19 0 0 17 Jul 2020
End-to-end Deep Prototype and Exemplar Models for Predicting Human Behavior Pulkit Singh Joshua C. Peterson Ruairidh M. Battleday Thomas Griffiths 6 19 0 17 Jul 2020
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification Xiaoxu Li Liyun Yu Xiaochen Yang Zhanyu Ma Jing-Hao Xue Jie Cao Jun Guo 38 15 0 27 Jun 2020
Towards Robust Pattern Recognition: A Review Xu-Yao Zhang Cheng-Lin Liu C. Suen OOD HAI 32 103 0 12 Jun 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 38 32 0 20 Apr 2020
The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification Dongliang Chang Yifeng Ding Jiyang Xie A. Bhunia Xiaoxu Li Zhanyu Ma Ming Wu Jun Guo Yi-Zhe Song 40 301 0 11 Feb 2020
Preventing Clean Label Poisoning using Gaussian Mixture Loss Muhammad Yaseen Muneeb Aadil Mariam Sargsyan AAML 14 3 0 10 Feb 2020
Variational Metric Scaling for Metric-Based Meta-Learning Jiaxin Chen Li-Ming Zhan Xiao-Ming Wu K. F. Chung 21 47 0 26 Dec 2019
Deep Manifold Embedding for Hyperspectral Image Classification Z. Gong Weidong Hu Xiaoyong Du P. Zhong Panhe Hu 34 27 0 24 Dec 2019
Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes Guolei Sun Hisham Cholakkal Salman Khan Fahad Shahbaz Khan Ling Shao 31 116 0 14 Dec 2019
Template-Instance Loss for Offline Handwritten Chinese Character Recognition Yao Xiao Dan Meng Cewu Lu Chi-Keung Tang 22 19 0 12 Oct 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 28 17 0 06 Aug 2019
Class specific or shared? A cascaded dictionary learning framework for image classification Yanjiang Wang Shuai Shao Rui Xu Ye Li Baodi Liu 21 0 0 17 Apr 2019
Towards Self-similarity Consistency and Feature Discrimination for Unsupervised Domain Adaptation Chao Chen Zhihang Fu Zhihong Chen Zhaowei Cheng Xinyu Jin Xiansheng Hua 30 6 0 13 Apr 2019