Deep Fusion: Capturing Dependencies in Contrastive Learning via Transformer Projection Headsby Huanran Li, Daniel Pimentel-AlarcónFirst…
CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactionsby Azmine Toushik Wasi, Taki Hasan Rafi,…
ParFormer: A Vision Transformer with Parallel Mixer and Sparse Channel Attention Patch Embeddingby Novendra Setyawan,…
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Serverby…
Enhancing Traffic Incident Management with Large Language Models: A Hybrid Machine Learning Approach for Severity…
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopyby Austin E.…
A Trainable Feature Extractor Module for Deep Neural Networks and Scanpath Classificationby Wolfgang FuhlFirst submitted…
Advancing Out-of-Distribution Detection through Data Purification and Dynamic Activation Function Designby Yingrui Ji, Yao Zhu,…
DINOv2 based Self Supervised Learning For Few Shot Medical Image Segmentationby Lev Ayzenberg, Raja Giryes,…
Hyperspectral Image Analysis in Single-Modal and Multimodal setting using Deep Learning Techniquesby Shivam PandeFirst submitted…