Titlebook: Neural Information Processing; 30th International C Biao Luo,Long Cheng,Chaojie Li Conference proceedings 2024 The Editor(s) (if applicable

Sputum

MDAM: Multi-Dimensional Attention Module for Anomalous Sound Detection an unsupervised manner. The difficulty of the task increases when there are acoustic differences (domain shift) between the training and testing datasets. To address these issues, this paper proposes a state-of-the-art ASD model based on self-supervised learning. Firstly, we designed an effective a

miniature

烤架

哎呦

Multi-level Feature Enhancement Method for?Medical Text Detectionvolving text-dense, extreme aspect ratios, and multi-oriented text, the current detection methods still fail to achieve satisfactory performance. In this paper, we propose an efficient and accurate text detection system that incorporates an efficient segmentation module and a learnable post-processi

inhumane

Neuron Attribution-Based Attacks Fooling Object Detectorstectors with different backbones or architectures. To measure the neuron attribution (importance) for a CNN layer of detector, we sum the classification scores of all positive proposal boxes to calculate the integrated attention (IA), then get the neuron attribution matrix via element-wise multiplyi

令人心醉

詞根詞綴法

A Joint Identification Network for?Legal Event Detection. While many studies have focused on using syntactic and relational dependencies to improve event detection, they often overlook the unique connections between trigger word candidates and their surrounding features. This paper proposes a new event detection model that addresses this issue by incorpo

arsenal

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