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2011.14027
Cited By
General Multi-label Image Classification with Transformers
Computer Vision and Pattern Recognition (CVPR), 2020
27 November 2020
Jack Lanchantin
Tianlu Wang
Vicente Ordonez
Yanjun Qi
ViT
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Papers citing
"General Multi-label Image Classification with Transformers"
50 / 118 papers shown
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MAT-Agent: Adaptive Multi-Agent Training Optimization
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Information Bottleneck-based Causal Attention for Multi-label Medical Image Recognition
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Junhong Leng
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240
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Domain Adaptation for Multi-label Image Classification: a Discriminator-free Approach
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447
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Test-Time Backdoor Detection for Object Detection Models
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Yuhang He
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Haoyu Luo
Xing Wei
Alex C. Kot
Yihong Gong
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424
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01 Mar 2025
Image Classification with Deep Reinforcement Active Learning
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Xuguang Song
H. Sahbi
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Yan Chen
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Mingliang Xu
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Huizhuo Yuan
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Yuheng Jia
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248
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Cross- and Intra-image Prototypical Learning for Multi-label Disease Diagnosis and Interpretation
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Helen Frazer
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Category-Prompt Refined Feature Learning for Long-Tailed Multi-Label Image Classification
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Multi-label Sewer Pipe Defect Recognition with Mask Attention Feature Enhancement and Label Correlation Learning
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Yu Sheng
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Yongwei Shan
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SSPA: Split-and-Synthesize Prompting with Gated Alignments for Multi-Label Image Recognition
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Zichang Tan
Jun Li
Jun Wan
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Stan Z. Li
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290
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Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
Jia-Hao Xiao
Ming-Kun Xie
Heng-Bo Fan
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Masashi Sugiyama
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293
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HSVLT: Hierarchical Scale-Aware Vision-Language Transformer for Multi-Label Image Classification
Shuyi Ouyang
Hongyi Wang
Ziwei Niu
Zhenjia Bai
Shiao Xie
Yingying Xu
Ruofeng Tong
Yen-Wei Chen
Lanfen Lin
VLM
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Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
Tianshui Chen
Weihang Wang
Tao Pu
Jinghui Qin
Zhijing Yang
Jie Liu
Liang Lin
256
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A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
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Jiexi Liu
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Jinghui Lu
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298
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Guoyang Xie
Guannan Jiang
Zhichao Lu
437
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Out-of-distribution Detection in Medical Image Analysis: A survey
Zesheng Hong
Yubiao Yue
Yubin Chen
Lele Cong
Huanjie Lin
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Xiaoqi Yang
Hechang Chen
Zhenzhang Li
Sihong Xie
OOD
326
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Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training
International Conference on Machine Learning (ICML), 2024
Ming-Kun Xie
Jia-Hao Xiao
Pei Peng
Gang Niu
Masashi Sugiyama
Sheng-Jun Huang
336
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Modeling Weather Uncertainty for Multi-weather Co-Presence Estimation
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Shaodi You
Theo Gevers
278
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Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
Angchi Xu
Wei-Shi Zheng
316
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Predicting Species Occurrence Patterns from Partial Observations
Hager Radi Abdelwahed
Mélisande Teng
David Rolnick
330
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PVLR: Prompt-driven Visual-Linguistic Representation Learning for Multi-Label Image Recognition
Hao Tan
Zichang Tan
Jun Li
Jun Wan
Zhen Lei
VLM
213
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Deep Learning for Multi-Label Learning: A Comprehensive Survey
A. Tarekegn
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F. A. Cheikh
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470
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Language-Guided Transformer for Federated Multi-Label Classification
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I-Jieh Liu
Ci-Siang Lin
Fu-En Yang
Yu-Chiang Frank Wang
370
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Toward Robustness in Multi-label Classification: A Data Augmentation Strategy against Imbalance and Noise
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Minseok Kim
Jae-Gil Lee
258
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Adjustable Robust Transformer for High Myopia Screening in Optical Coherence Tomography
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Zetian Zhang
Zexuan Ji
Kun Huang
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150
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Hulk: A Universal Knowledge Translator for Human-Centric Tasks
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Yizhou Wang
YiXuan Wu
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Xun Guo
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Rui Zhao
Jian Wu
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SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification
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Yibing Zhan
Leilei Ma
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Liang Ding
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329
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Learning Scene Context Without Images
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Umar Marikkar
Sara Atito
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A. Ben Hamza
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485
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Heterogenous Memory Augmented Neural Networks
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Zhen Liu
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Revisiting Logistic-softmax Likelihood in Bayesian Meta-Learning for Few-Shot Classification
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An evaluation of pre-trained models for feature extraction in image classification
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M. V. Todescato
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