A framework aiming to improve generalization performance and mitigate overfitting in deep learning methodologies in automated human affect and mental state estimation by introducing a novel relational loss for multilabel regression and ordinal problems, a...
List of Deep Learning models for defecting defect on an image dataset of metal assembly pieces
It is a service for defect detection and defect localization in hard metal industry
A masked contrastive learning framework for learning meaningful fine-grained representations with coarse-labeled dataset.
A self-supervised learning method aiming to alleviate the inherent false-negative problem in contrastive learning framework.
A robust and efficient training framework tackling with dataset with noisy labels.
A self-supervised pre-training method with focus on alleviating class collision problem using a cross-context learning scheme.
A CLIP-based visual-language model called DFER-CLIP for in-the-wild dynamic facial expression of emotion recognition.
Leverages the association between parts of speech and specific visual modes of variation to better separate representations of style from content in the CLIP representations
Localized image editing through joint factorization of parts of appearances in pre-trained GANs.
A method for controlling diversity between clusterings in deep clustering frameworks.
