Learning multi-axis representation in frequency domain for medical image segmentation
Abstract Recently, Visual Transformer (ViT) has been extensively used in medical image
segmentation (MIS) due to applying self-attention mechanism in the spatial domain to …
segmentation (MIS) due to applying self-attention mechanism in the spatial domain to …
Towards discriminative representation with meta-learning for colonoscopic polyp re-identification
Colonoscopic Polyp Re-Identification aims to match the same polyp from a large gallery with
images from different views taken using different cameras and plays an important role in the …
images from different views taken using different cameras and plays an important role in the …
CLAPP: Contrastive Language-Audio Pre-training in Passive Underwater Vessel Classification
Existing research on audio classification faces challenges in recognizing attributes of
passive underwater vessel scenarios and lacks well-annotated datasets due to data privacy …
passive underwater vessel scenarios and lacks well-annotated datasets due to data privacy …
VT-ReID: Learning Discriminative Visual-Text Representation for Polyp Re-Identification
Colonoscopic Polyp Re-Identification (ReID) aims to match a specific polyp in a large gallery
with different cameras and views, which plays a key role in the prevention and treatment of …
with different cameras and views, which plays a key role in the prevention and treatment of …
Self-Supervised Visual Representation Learning for Medical Image Analysis: A Comprehensive Survey
S Manna, S Bhattacharya, U Pal - Transactions on Machine Learning … - openreview.net
Deep learning has developed as a great tool for many computer vision or natural language
processing tasks. However, supervised deep learning algorithms require a large amount of …
processing tasks. However, supervised deep learning algorithms require a large amount of …