IEEE

Effects of Domain, Modality, and Linguistic Complexity on Cognitive Load and Self-Efficacy in Learning Academic Content in L2

Abstract: Learning academic content in a second language (L2) depends on how content domain, presentation modality, and linguistic complexity jointly shape cognitive and motivational states. Using a ...
GitHub

Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning

This repository is the official Pytorch implementation for the paper Rethinking Multi-modal Object Detection from the Perspective of Mono-Modality Feature Learning. If you have any questions, please ...
Frontiers

Compare the prognosis of pancreatic cancer patients with different treatment modalities and use machine learning methods to build predictive models

Background: Pancreatic cancer (PC) is highly refractory to most treatments. Multimodal treatment, combining several types of therapies, is likely to benefit PC patients. However, it remains unclear ...
IEEE

Find Hidden Modality Divergence: Adversarial Aware Learning for Unsupervised Visible–Infrared Person Re-Identification

Abstract: Unsupervised visible–infrared person re-identifi-cation (Unsupervised VI-ReID) aims to learn discriminative identity features under the large modality gap without any labeled data. Currently ...
GitHub

MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention

This is the official implementation of "MIRROR: Multi-Modal Pathological Self-Supervised Representation Learning via Modality Alignment and Retention". MIRROR is a novel multi-modal representation ...