12 datasets found

The proposed model consists of three subsystems: Feature Extractor, Attention-based Classification Model, and Lexical Stress Error Detector.

The dataset used in the paper for attention-oriented data analysis and attention-based adversarial defense.

Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radio-graphs of hands and feet. This is a tedious task which requires trained experts...

Alpha-CLIP is an enhanced version of CLIP with an auxiliary alpha channel to suggest attentive regions and fine-tuned with constructed millions of RGBA region-text pairs.

The CAMO dataset is the first COD dataset, containing 1,250 camouflaged images and 1,250 non-camouflaged images.

Unsupervised multi-object segmentation using attention and soft-argmax

Unsupervised multi-object segmentation using attention and soft-argmax

Unsupervised multi-object segmentation using attention and soft-argmax

CLEVRTEX is a synthetic dataset designed to present the next challenge in unsupervised multi-object learning. It introduces confounding visual aspects such as texture, irregular...

Unsupervised multi-object segmentation using attention and soft-argmax

MobileViGv2 uses Mobile Graph Convolution (MGC) to demonstrate the effectiveness of our approach.

CLEVR images contain objects characterized by a set of attributes (shape, color, size and material). The questions are grouped into 5 categories: Exist, Count, CompareInteger,...