Attention Score Prediction

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Benchmarks

PhyAAt

결과 1개

Most implemented

PhyAAt: Physiology of Auditory Attention to Speech Dataset

2020-05-23 · 구현 2개

Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection

2024-09-27 · 구현 1개

Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks

2020-08-01 · 구현 1개

Papers

Enhanced Convolution Neural Network with Optimized Pooling and Hyperparameter Tuning for Network Intrusion Detection

2024-09-27 · Ayush Kumar Sharma, Sourav Patel, Supriya Bharat Wakchaure, Abirami S

Network Intrusion Detection Systems (NIDS) are essential for protecting computer networks from malicious activities, including Denial of Service (DoS), Probing, User-to-Root (U2R), and Remote-to-Local (R2L) attacks. With…

Attention Score Prediction Feature Engineering Intrusion Detection Network Intrusion Detection

Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks

2020-08-01 · ECCV 2020 8 · Niamul Quader, Md Mafijul Islam Bhuiyan, Juwei Lu, Peng Dai 외

We propose novel approaches for simultaneously identifying important weights of a convolutional neural network (ConvNet) and providing more attention to the important weights during training. More formally, we identify t…

3D Action Recognition 3D Classification 3D Object Classification 3D Semantic Segmentation+9

PhyAAt: Physiology of Auditory Attention to Speech Dataset

2020-05-23 · Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti

Auditory attention to natural speech is a complex brain process. Its quantification from physiological signals can be valuable to improving and widening the range of applications of current brain-computer-interface syste…

Attention Score Prediction Brain Computer Interface LWR Classification Noise Level Prediction+1