1 citations · 2 across the 7 of their papers we have counts for
7 papers
Towards Imbalanced Large Scale Multi-label Classification with Partially Annotated Labels
XIn Zhang, Yuqi Song, Fei Zuo +1
Multi-label classification is a widely encountered problem in daily life, where an instance can be associated with multiple classes. In theory, this is a supervised learning method…
CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
Rabab Abdelfattah, Qing Guo, Xiaoguang Li +2
This paper presents a CLIP-based unsupervised learning method for annotation-free multi-label image classification, including three stages: initialization, training, and inference.…
An Effective Approach for Multi-label Classification with Missing Labels
Xin Zhang, Rabab Abdelfattah, Yuqi Song +1
Compared with multi-class classification, multi-label classification that contains more than one class is more suitable in real life scenarios. Obtaining fully labeled high-quality…
G2NetPL: Generic Game-Theoretic Network for Partial-Label Image Classification
Rabab Abdelfattah, Xin Zhang, Mostafa M. Fouda +2
Multi-label image classification aims to predict all possible labels in an image. It is usually formulated as a partial-label learning problem, since it could be expensive in pract…
PLMCL: Partial-Label Momentum Curriculum Learning for Multi-Label Image Classification
Rabab Abdelfattah, Xin Zhang, Zhenyao Wu +3
Multi-label image classification aims to predict all possible labels in an image. It is usually formulated as a partial-label learning problem, given the fact that it could be expe…
New Benchmark for Household Garbage Image Recognition
Zhize Wu, Huanyi Li, Xiaofeng Wang +4
Household garbage images are usually faced with complex backgrounds, variable illuminations, diverse angles, and changeable shapes, which bring a great difficulty in garbage image…
Domain-Invariant Proposals based on a Balanced Domain Classifier for Object Detection
Zhize Wu, Xiaofeng Wang, Tong Xu +4
Object recognition from images means to automatically find object(s) of interest and to return their category and location information. Benefiting from research on deep learning, l…