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Found 6 papers, 3 papers with code
Deep Metric Structured Learning For Facial Expression Recognition
We propose a deep metric learning model to create embedded sub-spaces with a well defined structure.
J Regularization Improves Imbalanced Multiclass Segmentation
We propose a new loss formulation to further advance the multiclass segmentation of cluttered cells under weakly supervised conditions.
A Weakly Supervised Method for Instance Segmentation of Biological Cells
We present a weakly supervised deep learning method to perform instance segmentation of cells present in microscopy images.
FERAtt: Facial Expression Recognition with Attention Net
We present a new end-to-end network architecture for facial expression recognition with an attention model.
Fast and Robust Multiple ColorChecker Detection using Deep Convolutional Neural Networks
The objective of this work is to propose a new fast and robust method for automatic ColorChecker detection.
Multiclass Weighted Loss for Instance Segmentation of Cluttered Cells
We propose a new multiclass weighted loss function for instance segmentation of cluttered cells.
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