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Multimodal Multilabel Classification by CLIP
Yanming Guo
Multimodal multilabel classification (MMC) is a challenging task that aims to design a learning algorithm to handle two data sources, the image and text, and learn a comprehensive…
Augmentation is AUtO-Net: Augmentation-Driven Contrastive Multiview Learning for Medical Image Segmentation
Yanming Guo
The utilisation of deep learning segmentation algorithms that learn complex organs and tissue patterns and extract essential regions of interest from the noisy background to improv…
Deep Learning for Video-Text Retrieval: a Review
Cunjuan Zhu, Qi Jia, Wei Chen +2
Video-Text Retrieval (VTR) aims to search for the most relevant video related to the semantics in a given sentence, and vice versa. In general, this retrieval task is composed of f…
On the Exploration of Convolutional Fusion Networks for Visual Recognition
Yu Liu, Yanming Guo, Michael S. Lew
Despite recent advances in multi-scale deep representations, their limitations are attributed to expensive parameters and weak fusion modules. Hence, we propose an efficient approa…