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Large-Scale Logo Detection 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2026, 卷号: 48, 期号: 3, 页码: 2919-2935
作者:  Hou, Sujuan;  Li, Jiacheng;  Min, Weiqing;  Zhan, Jianxin;  Zhang, Mengmeng;  Li, Peng;  Jiang, Shuqiang
收藏  |  浏览/下载：1/0  |  提交时间：2026/05/25
Benchmark testing  Training  Visualization  Annotations  Deep learning  Videos  Transformers  Monitoring  Feature extraction  Detectors  Logo detection  large-scale dataset  deep learning  
Boosting Dataset Distillation With the Assistance of Crucial Samples for Visual Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2025, 卷号: 27, 页码: 9873-9886
作者:  Li, Xiaodan;  Zhu, Yao;  Chen, Yuefeng;  Chen, Cen;  Guo, Jianmei;  Wang, Shuhui
收藏  |  浏览/下载：2/0  |  提交时间：2026/05/25
Training  Semantics  Computational modeling  Visualization  Synthetic data  Manifolds  Computational efficiency  Training data  Data models  Continuing education  Dataset distillation (DD)  discarding  semantic  infinite  interpolated  
Large Scale Visual Food Recognition 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9932-9949
作者:  Min, Weiqing;  Wang, Zhiling;  Liu, Yuxin;  Luo, Mengjiang;  Kang, Liping;  Wei, Xiaoming;  Wei, Xiaolin;  Jiang, Shuqiang
收藏  |  浏览/下载：68/0  |  提交时间：2023/12/04
Image recognition  Visualization  Task analysis  Benchmark testing  Representation learning  Training  Semantics  Food dataset  food recognition  large-scale datasets  fine-grained recognition  
General Greedy De-Bias Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 8, 页码: 9789-9805
作者:  Han, Xinzhe;  Wang, Shuhui;  Su, Chi;  Huang, Qingming;  Tian, Qi
收藏  |  浏览/下载：68/0  |  提交时间：2023/12/04
Task analysis  Correlation  Training  Data models  Question answering (information retrieval)  Visualization  Image classification  Curriculum learning  dataset biases  greedy strategy  robust learning  
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms Challenge 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2021, 卷号: 40, 期号: 12, 页码: 3543-3554
作者:  Campello, Victor M.;  Gkontra, Polyxeni;  Izquierdo, Cristian;  Martin-Isla, Carlos;  Sojoudi, Alireza;  Full, Peter M.;  Maier-Hein, Klaus;  Zhang, Yao;  He, Zhiqiang;  Ma, Jun;  Parreno, Mario;  Albiol, Alberto;  Kong, Fanwei;  Shadden, Shawn C.;  Acero, Jorge Corral;  Sundaresan, Vaanathi;  Saber, Mina;  Elattar, Mustafa;  Li, Hongwei;  Menze, Bjoern;  Khader, Firas;  Haarburger, Christoph;  Scannell, Cian M.;  Veta, Mitko;  Carscadden, Adam;  Punithakumar, Kumaradevan;  Liu, Xiao;  Tsaftaris, Sotirios A.;  Huang, Xiaoqiong;  Yang, Xin;  Li, Lei;  Zhuang, Xiahai;  Vilades, David;  Descalzo, Martin L.;  Guala, Andrea;  La Mura, Lucia;  Friedrich, Matthias G.;  Garg, Ria;  Lebel, Julie;  Henriques, Filipe;  Karakas, Mahir;  Cavus, Ersin;  Petersen, Steffen E.;  Escalera, Sergio;  Segui, Santi;  Rodriguez-Palomares, Jose F.;  Lekadir, Karim
收藏  |  浏览/下载：98/0  |  提交时间：2022/06/21
Image segmentation  Heart  Training  Hospitals  Deep learning  Biomedical engineering  Protocols  Cardiovascular magnetic resonance  image segmentation  deep learning  generalizability  data augmentation  domain adaption  public dataset  
Why Dataset Properties Bound the Scalability of Parallel Machine Learning Training Algorithms 期刊论文
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2021, 卷号: 32, 期号: 7, 页码: 1702-1712
作者:  Cheng, Daning;  Li, Shigang;  Zhang, Hanping;  Xia, Fen;  Zhang, Yunquan
收藏  |  浏览/下载：109/0  |  提交时间：2021/12/01
Training  Scalability  Machine learning  Machine learning algorithms  Stochastic processes  Task analysis  Upper bound  Parallel training algorithms  training dataset  scalability  stochastic optimization methods