Photoshop CS6 Extended tutorial showing how to customize an existing wine label with your own name and then place it onto an image of a wine bottle. Areas covered include the warp transform tool, ...

Abstract: Multi-view data encompasses various data types, including multi-feature, multi-sequence, and multi-modal data. Multi-view multi-label classification aims to leverage the rich semantic ...

Colon cancer classification has a significant guidance value in clinical diagnoses and medical prognoses. The classification of colon cancers with high accuracy is the premise of efficient treatment.

State Key Laboratory of Soil Pollution Control and Safety, and Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou 310058, China ...

I have read the paper and it seemed to be a single-label multi-classification problem. But the code use BCE and sigmoid instead of crossEntropy and softmax. So does it mean that the patient may have ...

I tried applying label smoothing to my multi-label classification problem—given that my dataset is noisy and unbalanced, I thought it might help—but I ran into issue #40258 ...

Liu N, Yuan Y, Wu G, Zhang S, Leng J and Wan L (2025) Correction: Multi-label remote sensing classification with self-supervised gated multi-modal transformers.

Active learning for multi-label classification addresses the challenge of labelling data in situations where each instance may belong to several overlapping categories. This paradigm aims to enhance ...

Abstract: Multi-label classification with missing labels handles the problem that the label set contains unobserved missing labels due to the expensive human annotations. However, these works mainly ...