22 datasets found

The paper introduces a plug-and-play descriptor that can be effectively adopted for image retrieval tasks without prior initialization or preparation.

The proposed MG-ViT model is used for few-shot learning on the Agri-ImageNet and ACFR apple detection tasks.

COVID-19 classification from CT chest images based on vision transformer models

Knee OsteoArthritis (KOA) dataset used for early detection of KOA (KL-0 vs KL-2) using Vision Transformer (ViT) model with selective shuffled position embedding and key-patch...

Fine-grained object discrimination using Vision Transformer

Biomedical image classification requires capturing of bio-informatics based on specific feature distribution. In most of such applications, there are mainly challenges due to...

The MVTecAD dataset is an image data on 15 products.

The MNIST, CIFAR10, and MVTecAD datasets were used to verify the anomaly detection and localization performance of the proposed method.

A shape-sensitive loss function for catheter and guidewire segmentation using a vision transformer network.

Weakly-supervised semantic segmentation using plain Vision Transformer (ViT) for Weakly-supervised Semantic Segmentation (WSSS).

The FastViT dataset is a fast vision transformer model.

The EdgeVITs dataset is a light-weight vision transformer model.

The JFT-300M dataset is used for training and evaluation of the proposed Circulant Channel-Specific (CCS) token-mixing MLP.

The ImageNet21K dataset is used for training and evaluation of the proposed Circulant Channel-Specific (CCS) token-mixing MLP.

The dataset used in the paper is LAION-2B, which is a large-scale image-text dataset. The authors fine-tune a pre-trained diffusion model with a subset of LAION-2B with 10k...

Multi-label image recognition is a practical and challenging computer vision task. The authors propose a method to leverage the advantages of Transformer with long-range...

The dataset used for training the CNN in cough detection is composed of various modified audio clips gathered from open-source online sources. Each of these audio files...

Chest X-rays are widely used to diagnose thoracic diseases, but the lack of detailed information about these abnormalities makes it challenging to develop accurate automated...

Vision Transformer (ViT) is becoming more popular in image processing. We investigate the effectiveness of test-time adaptation (TTA) on ViT, a technique that has emerged to...

Structural Vision Transformer (StructViT) is a vision transformer network that leverages structural self-attention (StructSA) to capture correlation structures in images and...