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Found 6 papers, 2 papers with code
SyncMask: Synchronized Attentional Masking for Fashion-centric Vision-Language Pretraining
Vision-language models (VLMs) have made significant strides in cross-modal understanding through large-scale paired datasets.
On Train-Test Class Overlap and Detection for Image Retrieval
How important is it for training and evaluation sets to not have class overlap in image retrieval?
Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network
Many studies in vision tasks have aimed to create effective embedding spaces for single-label object prediction within an image.
Boosting vision transformers for image retrieval
(4) We enhance locality of interactions at the deeper layers of the encoder, which is the relative weakness of vision transformers.
Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information
Medical image captioning can reduce the workload of physicians and save time and expense by automatically generating reports.
Clinical Text Generation through Leveraging Medical Concept and Relations
With a neural sequence generation model, this study aims to develop a method of writing the patient clinical texts given a brief medical history.
