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2002.10191
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Learning Attentive Pairwise Interaction for Fine-Grained Classification
AAAI Conference on Artificial Intelligence (AAAI), 2020
24 February 2020
Peiqin Zhuang
Yali Wang
Yu Qiao
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Papers citing
"Learning Attentive Pairwise Interaction for Fine-Grained Classification"
50 / 84 papers shown
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Enhancing Fine-Grained Visual Recognition in the Low-Data Regime Through Feature Magnitude Regularization
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Qiguang Miao
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Yue Hu
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JiaZhan Gao
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Sitong Li
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Jinhui Tang
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Jiayuan Zhu
Min Xu
Yueming Jin
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Cross-Level Multi-Instance Distillation for Self-Supervised Fine-Grained Visual Categorization
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Wei Ji
Jingjun Yi
Haolan Zhan
Gui-Song Xia
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Fine-grained Recognition with Learnable Semantic Data Augmentation
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Yizeng Han
Yulin Wang
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Learning Gabor Texture Features for Fine-Grained Recognition
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Tianrun Chen
Jianxiong Yin
Simon See
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299
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10 Aug 2023
M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition
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Junseok K. Lee
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301
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Coping with Change: Learning Invariant and Minimum Sufficient Representations for Fine-Grained Visual Categorization
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Shuo Ye
Shujian Yu
W. Hou
Yu Wang
Xinge You
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476
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08 Jun 2023
Fine-grained Visual Classification with High-temperature Refinement and Background Suppression
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Yu-Yung Kao
Cheng-Hung Lin
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Learning Discriminative Representations for Skeleton Based Action Recognition
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Qingjie Liu
Yunhong Wang
370
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Learning Pairwise Interaction for Generalizable DeepFake Detection
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Kiran Raja
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Kernel function impact on convolutional neural networks
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A. Chetouani
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247
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Jia Li
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376
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Part-guided Relational Transformers for Fine-grained Visual Recognition
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Huihui Fang
Yehui Yang
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Haoyi Xiong
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264
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Asish Bera
Zachary Wharton
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Nikolaos Bessis
Ardhendu Behera
244
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Kui Jia
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Improving Fine-Grained Visual Recognition in Low Data Regimes via Self-Boosting Attention Mechanism
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Wei-wei Zhu
Yanming Fang
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Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
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Jiakang Yuan
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Tao Chen
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Ding Wang
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302
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Penalizing Proposals using Classifiers for Semi-Supervised Object Detection
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Fine-Grained Visual Classification using Self Assessment Classifier
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