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Found 7 papers, 2 papers with code
Benchmarking Pretrained Vision Embeddings for Near- and Duplicate Detection in Medical Images
Near- and duplicate image detection is a critical concern in the field of medical imaging.
Medical Image Retrieval Using Pretrained Embeddings
A wide range of imaging techniques and data formats available for medical images make accurate retrieval from image databases challenging.
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization
Motivated by this analysis, we introduce our algorithm, Riemannian Sharpness-Aware Minimization (RSAM).
ACA-Net: Towards Lightweight Speaker Verification using Asymmetric Cross Attention
In this paper, we propose ACA-Net, a lightweight, global context-aware speaker embedding extractor for Speaker Verification (SV) that improves upon existing work by using Asymmetric Cross Attention (ACA) to replace temporal pooling.
UNSAT Solver Synthesis via Monte Carlo Forest Search
We introduce Monte Carlo Forest Search (MCFS), a class of reinforcement learning (RL) algorithms for learning policies in {tree MDPs}, for which policy execution involves traversing an exponential-sized tree.
Fused Audio Instance and Representation for Respiratory Disease Detection
Our findings show that the use of self-attention to combine extracted features from cough, breath, and speech sounds leads to the best performance with an Area Under the Receiver Operating Characteristic Curve (AUC) score of 0. 8658, a sensitivity of 0. 8057, and a specificity of 0. 7958.
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?
In addition, we introduce Dynamic Visual Meta-Embedding (DVME) as an end-to-end transfer learning approach that fuses pretrained embeddings from multiple models.
