1.1k citations · 1.9k across the 9 of their papers we have counts for
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Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
Bohan Li, Xiao Xu, Xinghao Wang +6
Existing image augmentation methods consist of two categories: perturbation-based methods and generative methods. Perturbation-based methods apply pre-defined perturbations to augm…
MuMIC -- Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid
Fengjun Wang, Sarai Mizrachi, Moran Beladev +4
Multi-label image classification is a foundational topic in various domains. Multimodal learning approaches have recently achieved outstanding results in image representation and s…
Additive Margin Softmax for Face Verification
Feng Wang, Weiyang Liu, Haijun Liu +1
In this paper, we propose a conceptually simple and geometrically interpretable objective function, i.e. additive margin Softmax (AM-Softmax), for deep face verification. In genera…
NormFace: L2 Hypersphere Embedding for Face Verification
Feng Wang, Xiang Xiang, Jian Cheng +1
Thanks to the recent developments of Convolutional Neural Networks, the performance of face verification methods has increased rapidly. In a typical face verification method, featu…
MAT: A Multimodal Attentive Translator for Image Captioning
Chang Liu, Fuchun Sun, Changhu Wang +2
In this work we formulate the problem of image captioning as a multimodal translation task. Analogous to machine translation, we present a sequence-to-sequence recurrent neural net…