2 citations · 3 across the 3 of their papers we have counts for
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cs.CV2023★ 2 cited
Semantic Embedded Deep Neural Network: A Generic Approach to Boost Multi-Label Image Classification Performance
Xin Shen, Xiaonan Zhao, Rui Luo
Fine-grained multi-label classification models have broad applications in e-commerce, such as visual based label predictions ranging from fashion attribute detection to brand recog…
cs.CV2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
Prarthana Bhattacharyya, Chenge Li, Xiaonan Zhao +2
Self-supervision has shown outstanding results for natural language processing, and more recently, for image recognition. Simultaneously, vision transformers and its variants have…
cs.CV2019★ 1 cited
A weakly supervised adaptive triplet loss for deep metric learning
Xiaonan Zhao, Huan Qi, Rui Luo +1
We address the problem of distance metric learning in visual similarity search, defined as learning an image embedding model which projects images into Euclidean space where semant…