The Devil is in the Tails: Fine-grained Classification in the Wild

5 September 2017

Papers citing "The Devil is in the Tails: Fine-grained Classification in the Wild"

50 / 122 papers shown

Title
Time Frequency Analysis of EMG Signal for Gesture Recognition using Fine grained Features Parshuram N. Aarotale A. Rattani 24 0 0 20 Apr 2025
Inteligencia Artificial para la conservación y uso sostenible de la biodiversidad, una visión desde Colombia (Artificial Intelligence for conservation and sustainable use of biodiversity, a view from Colombia) Juan Sebastián Canas Camila Parra-Guevara Manuela Montoya-Castrillón Julieta M Ramírez-Mejía Gabriel-Alejandro Perilla ... Mario Murcia Elkin A. Noguera-Urbano Jose Manuel Ochoa-Quintero Susana Rodríguez Buriticá J. Ulloa 39 0 0 17 Mar 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond Qiongxiu Li Xiaoyu Luo Yiyi Chen Johannes Bjerva 43 0 0 10 Mar 2025
Making Reliable and Flexible Decisions in Long-tailed Classification Bolian Li Ruqi Zhang 125 0 0 23 Jan 2025
SSE-SAM: Balancing Head and Tail Classes Gradually through Stage-Wise SAM Xingyu Lyu Qianqian Xu Zhiyong Yang Shaojie Lyu Qingming Huang 74 0 0 18 Dec 2024
Learning De-Biased Representations for Remote-Sensing Imagery Zichen Tian Zhaozheng Chen Qianru Sun 26 0 0 06 Oct 2024
Contrastive ground-level image and remote sensing pre-training improves representation learning for natural world imagery Andy V. Huynh Lauren E. Gillespie Jael Lopez-Saucedo Claire Tang Rohan Sikand Moisés Expósito-Alonso SSL 30 5 0 28 Sep 2024
Improving Diffusion-based Data Augmentation with Inversion Spherical Interpolation Yanghao Wang Long Chen DiffM 19 0 0 29 Aug 2024
Extract More from Less: Efficient Fine-Grained Visual Recognition in Low-Data Regimes Dmitry Demidov Abduragim Shtanchaev M. Mihaylov Mohammad Almansoori 79 0 0 28 Jun 2024
Early learning of the optimal constant solution in neural networks and humans Jirko Rubruck Jan P. Bauer Andrew M. Saxe Christopher Summerfield 33 1 0 25 Jun 2024
Insect Identification in the Wild: The AMI Dataset Aditya Jain Fagner Cunha M. Bunsen Juan Sebastián Canas L. Pasi ... K. P. McFarland David Roy T. Høye Maxim Larrivée David Rolnick 26 3 0 18 Jun 2024
EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections Francesc Net Marc Folia Pep Casals Andrew D. Bagdanov Lluís Gómez 24 1 0 04 Jun 2024
Rethinking Classifier Re-Training in Long-Tailed Recognition: A Simple Logits Retargeting Approach Han Lu Siyu Sun Yichen Xie Liqing Zhang Xiaokang Yang Junchi Yan 26 1 0 01 Mar 2024
Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification Yanbiao Ma Licheng Jiao F. Liu Shuyuan Yang Xu Liu Puhua Chen 20 10 0 21 Jan 2024
EAT: Towards Long-Tailed Out-of-Distribution Detection Tong Wei Bo-Lin Wang Min-Ling Zhang OODD 18 14 0 14 Dec 2023
SoK: Memorisation in machine learning Dmitrii Usynin Moritz Knolle Georgios Kaissis 9 1 0 06 Nov 2023
Why Train More? Effective and Efficient Membership Inference via Memorization Jihye Choi Shruti Tople Varun Chandrasekaran Somesh Jha TDI FedML 11 2 0 12 Oct 2023
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning Zitai Wang Qianqian Xu Zhiyong Yang Yuan He Xiaochun Cao Qingming Huang 28 24 0 07 Oct 2023
From SMOTE to Mixup for Deep Imbalanced Classification Wei Cheng Tan-Ha Mai Hsuan-Tien Lin 13 3 0 29 Aug 2023
Robust Long-Tailed Learning via Label-Aware Bounded CVaR Hong Zhu Runpeng Yu Xingui Tang Yifei Wang Yuan Fang Yisen Wang 19 0 0 29 Aug 2023
AnuraSet: A dataset for benchmarking Neotropical anuran calls identification in passive acoustic monitoring Juan Sebastián Canas Maria Paula Toro-Gómez L. S. M. Sugai H. Benítez-Restrepo J. Rudas ... José Luiz Massao Moreira Sugai Carolina Emília dos Santos R. Bastos Diego Llusia J. Ulloa 28 18 0 11 Jul 2023
Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration Emanuel Sanchez Aimar Hannah Helgesen Yonghao Xu Marco Kuhlmann M. Felsberg 26 0 0 07 Jun 2023
CVB: A Video Dataset of Cattle Visual Behaviors Ali Zia Renuka Sharma Reza Arablouei G. Bishop-Hurley Jody McNally N. Bagnall V. Rolland Brano Kusy L. Petersson A. Ingham 23 2 0 26 May 2023
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail Yingjun Du Jiayi Shen Xiantong Zhen Cees G. M. Snoek 34 12 0 31 Mar 2023
Long-tailed Classification from a Bayesian-decision-theory Perspective Bolian Li Ruqi Zhang 24 1 0 10 Mar 2023
Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning Yun Yvonna Li Zhe Liu Saurav Jha Sally Cripps L. Yao BDL CoGe 21 11 0 01 Mar 2023
Inducing Neural Collapse in Deep Long-tailed Learning Xuantong Liu Jianfeng Zhang Tianyang Hu He Cao Lujia Pan Yuan Yao 22 27 0 24 Feb 2023
Debiased Distillation by Transplanting the Last Layer Jiwoon Lee Jaeho Lee 15 3 0 22 Feb 2023
FedABC: Targeting Fair Competition in Personalized Federated Learning Dui Wang Li Shen Yong Luo Han Hu Kehua Su Yonggang Wen Dacheng Tao FedML 13 9 0 15 Feb 2023
Learning Prototype Classifiers for Long-Tailed Recognition Saurabh Sharma Yongqin Xian Ning Yu Ambuj K. Singh 19 13 0 01 Feb 2023
Machine Learning-based Signal Quality Assessment for Cardiac Volume Monitoring in Electrical Impedance Tomography Chang Min Hyun Tae Jun Jang Jeongchan Nam H. Kwon Kiwan Jeon Kyounghun Lee 12 3 0 04 Jan 2023
Escaping Saddle Points for Effective Generalization on Class-Imbalanced Data Harsh Rangwani Sumukh K Aithal Mayank Mishra R. Venkatesh Babu 23 27 0 28 Dec 2022
Object Segmentation of Cluttered Airborne LiDAR Point Clouds Mariona Carós Ariadna Just Santi Seguí Jordi Vitrià 3DPC 40 4 0 28 Oct 2022
Bugs in the Data: How ImageNet Misrepresents Biodiversity A. Luccioni David Rolnick 19 43 0 24 Aug 2022
Label-Noise Learning with Intrinsically Long-Tailed Data Yang Lu Yiliang Zhang Bo Han Y. Cheung Hanzi Wang NoLa 41 16 0 21 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 23 18 0 17 Aug 2022
A Multi-label Continual Learning Framework to Scale Deep Learning Approaches for Packaging Equipment Monitoring Davide Dalle Pezze Denis Deronjic Chiara Masiero Diego Tosato A. Beghi Gian Antonio Susto CLL 11 9 0 08 Aug 2022
Class-Aware Universum Inspired Re-Balance Learning for Long-Tailed Recognition Enhao Zhang Chuanxing Geng Songcan Chen 30 2 0 26 Jul 2022
Two-Stage Fine-Tuning: A Novel Strategy for Learning Class-Imbalanced Data Taha ValizadehAslani Yiwen Shi Jing Wang Ping Ren Yi Zhang Meng Hu Lianggong Zhao Hualou Liang 20 7 0 22 Jul 2022
Partial and Asymmetric Contrastive Learning for Out-of-Distribution Detection in Long-Tailed Recognition Haotao Wang Aston Zhang Yi Zhu Shuai Zheng Mu Li Alexander J. Smola Zhangyang Wang OODD 138 48 0 04 Jul 2022
A Theoretical Analysis of the Learning Dynamics under Class Imbalance Emanuele Francazi M. Baity-Jesi Aurélien Lucchi 15 16 0 01 Jul 2022
On the Importance and Applicability of Pre-Training for Federated Learning Hong-You Chen Cheng-Hao Tu Zi-hua Li Hang Shen Wei-Lun Chao FedML 11 77 0 23 Jun 2022
Learning Imbalanced Datasets with Maximum Margin Loss Haeyong Kang Thang Vu Chang-Dong Yoo 21 18 0 11 Jun 2022
How unfair is private learning ? Amartya Sanyal Yaxian Hu Fanny Yang FaML FedML 25 22 0 08 Jun 2022
Long-tailed Recognition by Learning from Latent Categories Weide Liu Zhonghua Wu Yiming Wang Henghui Ding Fayao Liu Jie Lin Guosheng Lin 43 5 0 02 Jun 2022
A Survey on Long-Tailed Visual Recognition Lu Yang He Jiang Q. Song Jun Guo 11 123 0 27 May 2022
Phased Progressive Learning with Coupling-Regulation-Imbalance Loss for Imbalanced Data Classification Liang Xu Yi Cheng Fan Zhang Bingxuan Wu Pengfei Shao Peng Liu Shuwei Shen Peng Yao Ronald X.Xu 8 1 0 24 May 2022
ELM: Embedding and Logit Margins for Long-Tail Learning Wittawat Jitkrittum A. Menon A. S. Rawat Surinder Kumar 24 11 0 27 Apr 2022
Solving The Long-Tailed Problem via Intra- and Inter-Category Balance Renhui Zhang Tiancheng Lin Rui Zhang Yi Xu 11 4 0 20 Apr 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization B. Kulynych Yao-Yuan Yang Yaodong Yu Jarosław Błasiok Preetum Nakkiran OOD 17 9 0 07 Apr 2022