Maximum-Entropy Fine-Grained Classification

16 September 2018

Papers citing "Maximum-Entropy Fine-Grained Classification"

50 / 69 papers shown

Title
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model Jincheng Zhong Xiangcheng Zhang J. Z. Wang Mingsheng Long 38 1 0 02 Apr 2025
Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization Avraham Chapman Haiming Xu Lingqiao Liu 35 0 0 03 Sep 2024
Global-Local Similarity for Efficient Fine-Grained Image Recognition with Vision Transformers Edwin Arkel Rios Min-Chun Hu Bo-Cheng Lai ViT 30 2 0 17 Jul 2024
ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery Kam Woh Ng Xiatian Zhu Yi-Zhe Song Tao Xiang 37 2 0 12 Jun 2024
Enhancing Fine-Grained Image Classifications via Cascaded Vision Language Models Canshi Wei VLM 30 0 0 18 May 2024
Group Benefits Instances Selection for Data Purification Zhenhuang Cai Chuanyi Zhang Dan Huang Yuanbo Chen Xiuyun Guan Yazhou Yao NoLa 45 0 0 23 Mar 2024
Context-Semantic Quality Awareness Network for Fine-Grained Visual Categorization Qin Xu Sitong Li Jiahui Wang Bo Jiang Jinhui Tang 24 0 0 15 Mar 2024
MaxEnt Loss: Constrained Maximum Entropy for Calibration under Out-of-Distribution Shift Dexter Neo Stefan Winkler Tsuhan Chen OODD 22 3 0 26 Oct 2023
Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 24 2 0 24 Oct 2023
Latent Space Energy-based Model for Fine-grained Open Set Recognition Wentao Bao Qi Yu Yu Kong BDL 35 2 0 19 Sep 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation Yifan Pu Yizeng Han Yulin Wang Junlan Feng Chao Deng Gao Huang 22 27 0 01 Sep 2023
Learning Gabor Texture Features for Fine-Grained Recognition Lanyun Zhu Tianrun Chen Jianxiong Yin Simon See Jun Liu 28 18 0 10 Aug 2023
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition Ji-Hee Moon Junseok K. Lee Yu-Ling Lee Seongsik Park 32 4 0 04 Aug 2023
Exploration and Exploitation of Unlabeled Data for Open-Set Semi-Supervised Learning Ganlong Zhao Guanbin Li Yipeng Qin Jinjin Zhang Z. Chai Xiaolin K. Wei Liang Lin Yizhou Yu 32 1 0 30 Jun 2023
Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization Y. Liu Chris Xing Tian Haoliang Li Lei Ma Shiqi Wang UQCV 26 19 0 05 Jun 2023
Multi-Granularity Archaeological Dating of Chinese Bronze Dings Based on a Knowledge-Guided Relation Graph Rixin Zhou Jiafu Wei Qian Zhang RuiHua Qi Xi Yang Chuntao Li AI4CE 20 3 0 27 Mar 2023
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets Pablo J. Villacorta Jesús M. Rodríguez-de-Vera Marc Bolaños Ignacio Sarasúa Bhalaji Nagarajan P. Radeva 10 1 0 16 Mar 2023
Parsing Objects at a Finer Granularity: A Survey Yifan Zhao Jia Li Yonghong Tian 36 1 0 28 Dec 2022
Part-guided Relational Transformers for Fine-grained Visual Recognition Yifan Zhao Jia Li Xiaowu Chen Yonghong Tian ViT 36 34 0 28 Dec 2022
Self-Supervised Learning via Maximum Entropy Coding Xin Liu Zhongdao Wang Yali Li Shengjin Wang SSL 24 40 0 20 Oct 2022
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method Lu Zhang Yang Wang Jiaogen Zhou Chenbo Zhang Yinglu Zhang Jihong Guan Yatao Bian Shuigeng Zhou 29 9 0 08 Oct 2022
Dynamic Latent Separation for Deep Learning Yi-Lin Tuan Zih-Yun Chiu William Yang Wang 23 0 0 07 Oct 2022
Relational Proxies: Emergent Relationships as Fine-Grained Discriminators Abhra Chaudhuri Massimiliano Mancini Zeynep Akata Anjan Dutta 20 4 0 05 Oct 2022
Fine-grained Classification of Solder Joints with α-skew Jensen-Shannon Divergence Furkan Ulger S. E. Yuksel Atila Yilmaz Dincer Gokcen UQCV 13 3 0 20 Sep 2022
Lower Difficulty and Better Robustness: A Bregman Divergence Perspective for Adversarial Training Zihui Wu Haichang Gao Bingqian Zhou Xiaoyan Guo Shudong Zhang AAML 30 0 0 26 Aug 2022
Preserving Fine-Grain Feature Information in Classification via Entropic Regularization Raphael Baena Lucas Drumetz Vincent Gripon 19 3 0 07 Aug 2022
MemSAC: Memory Augmented Sample Consistency for Large Scale Unsupervised Domain Adaptation Tarun Kalluri Astuti Sharma Manmohan Chandraker 20 18 0 25 Jul 2022
ProSelfLC: Progressive Self Label Correction Towards A Low-Temperature Entropy State Xinshao Wang Yang Hua Elyor Kodirov S. Mukherjee David A. Clifton N. Robertson 17 6 0 30 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 14 18 0 03 Jun 2022
FedEntropy: Efficient Device Grouping for Federated Learning Using Maximum Entropy Judgment Zhiwei Ling Zhihao Yue Jun Xia Ming Hu Ting Wang Mingsong Chen FedML 26 8 0 24 May 2022
Fine-Grained Visual Classification using Self Assessment Classifier Tuong Khanh Long Do Huy Tran Erman Tjiputra Quang-Dieu Tran Anh Nguyen 35 12 0 21 May 2022
ViT-FOD: A Vision Transformer based Fine-grained Object Discriminator Zi-Chao Zhang Zhen-Duo Chen Yongxin Wang Xin Luo Xin-Shun Xu ViT 22 6 0 24 Mar 2022
Fine-Grained Image Analysis with Deep Learning: A Survey Xiu-Shen Wei Yi-Zhe Song Oisin Mac Aodha Jianxin Wu Yuxin Peng Jinhui Tang Jian Yang Serge J. Belongie 71 279 0 11 Nov 2021
Human Attention in Fine-grained Classification Yao Rong Wenjia Xu Zeynep Akata Enkelejda Kasneci 37 35 0 02 Nov 2021
A free lunch from ViT:Adaptive Attention Multi-scale Fusion Transformer for Fine-grained Visual Recognition Yuan Zhang Jian Cao Ling Zhang Xiangcheng Liu Zhiyi Wang Feng Ling Weiqian Chen ViT 31 48 0 04 Oct 2021
Fair Comparison: Quantifying Variance in Resultsfor Fine-grained Visual Categorization M. Gwilliam Adam Teuscher Connor Anderson Ryan Farrell 23 12 1 07 Sep 2021
Ranking Models in Unlabeled New Environments Xiaoxiao Sun Yunzhong Hou Weijian Deng Hongdong Li Liang Zheng OOD 13 9 0 23 Aug 2021
RAMS-Trans: Recurrent Attention Multi-scale Transformer forFine-grained Image Recognition Yunqing Hu Xuan Jin Yin Zhang Ha Hong Jingfeng Zhang Yuan He Hui Xue ViT 24 97 0 17 Jul 2021
Transformer with Peak Suppression and Knowledge Guidance for Fine-grained Image Recognition Xinda Liu Lili Wang Xiaoguang Han ViT 36 66 0 14 Jul 2021
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization Jun Wang Xiaohan Yu Yongsheng Gao ViT 35 105 0 06 Jul 2021
Exploring Vision Transformers for Fine-grained Classification Marcos V. Conde Kerem Turgutlu ViT 6 17 0 19 Jun 2021
Fingerprinting Image-to-Image Generative Adversarial Networks Guanlin Li Guowen Xu Han Qiu Shangwei Guo Run Wang Jiwei Li Tianwei Zhang Rongxing Lu WIGM 22 0 0 19 Jun 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition Yihong Dong Ying Peng Muqiao Yang Songtao Lu Qingjiang Shi 40 9 0 05 Jun 2021
A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild Kamala Gajurel Cuncong Zhong Guanghui Wang SLR 17 13 0 17 May 2021
TransFG: A Transformer Architecture for Fine-grained Recognition Ju He Jieneng Chen Shuai Liu Adam Kortylewski Cheng Yang Yutong Bai Changhu Wang ViT 33 375 0 14 Mar 2021
Knowledge Evolution in Neural Networks Ahmed Taha Abhinav Shrivastava L. Davis 45 21 0 09 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 23 3 0 31 Jan 2021
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification Ardhendu Behera Zachary Wharton Pradeep Ruwan Padmasiri Galbokka Hewage Asish Bera 59 108 0 17 Jan 2021
Fine-grained Classification via Categorical Memory Networks Weijian Deng Joshua Marsh Stephen Gould Liang Zheng 18 9 0 12 Dec 2020
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness Yilun Jin Lixin Fan Kam Woh Ng Ce Ju Qiang Yang AAML OOD 10 1 0 27 Nov 2020