Contents [hide] 1 Audio Classification (Test/Train) tasks 1.1 Description 1.1.1 Task specific mailing list 1.2 Data 1.2.1 Audio Classical Composer Identification 1.2.2 Audio US Pop Music Genre Classification 1.2.3 Audio Latin Music Genre Classificati…
Contents [hide] 1 Description 1.1 Task specific mailing list 2 Data 2.1 MajorMiner Tag Dataset 2.2 Mood Tag Dataset 3 Evaluation 3.1 Binary (Classification) Evaluation 3.2 Affinity (Ranking) Evaluation 3.3 Ranking and significance testing 3.4 Runtime…
1.数据集加载 if FLAGS.normal: assert(NUM_POINT<=10000) DATA_PATH = os.path.join(ROOT_DIR, 'data/modelnet40_normal_resampled') TRAIN_DATASET = modelnet_dataset.ModelNetDataset(root=DATA_PATH, npoints=NUM_POINT, split='train', normal_channel=FLAGS.normal, b…
MIREX作为国际最权威音频检索评测大赛,竟然在百度上找不到任何介绍,只有几个与什么搜狗.腾讯获得什么成绩相关的检索内容,相比而言,TRECVID的内容收到重视多了...由于研究生阶段主要研究音频领域,需要对整个领域有一个大致的了解,感觉还是从MIREX入手比较合适,所以借此机会也与大家分享一记. MIREX全称Music Information Retrieval Evaluation eXchange,即音乐信息检索评测,至于eXchange放在这不太清楚什么意思,或许与“交流”类似的含义吧…
Abstract Principal Mel-Spectrum Components (Feature) Temporal Pooling Functions (Model) Single Hidden Layer Neural Network, thus Multi-layer Perceptron (Classifier) Audio Preprocessing     Feature: PMSC (Principal Mel-Spectrum Components) Original Da…
论文链接:https://aclweb.org/anthology/P18-1031 对文章内容的总结 文章研究了一些在general corous上pretrain LM,然后把得到的model transfer到text classiffication上 整个过程的训练技巧. 这些技巧的切入点是learning rate. 主要是三个: (1)discriminative fine-tuning (其中的discriminative 指 fine-tune each layer with d…
When a golf player is first learning to play golf, they usually spend most of their time developing a basic swing. Only gradually do they develop other shots, learning to chip, draw and fade the ball, building on and modifying their basic swing. In a…
Machine and Deep Learning with Python Education Tutorials and courses Supervised learning superstitions cheat sheet Introduction to Deep Learning with Python How to implement a neural network How to build and run your first deep learning network Neur…
Paper about Event Detection. #@author: gr #@date: 2014-03-15 #@email: forgerui@gmail.com 看一些相关的论文. 1. <Efficient Visual Event Detection using Volumetric Features> ICCV 2005 扩展2D box 特征到3D时空特征. 构建一个实时的检测器基于容积特征. 采用传统的兴趣点方法检测事件. 2. <ARMA-HMM: A New…
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan[‡] & Andrew Zisserman[§] Visual Geometry Group, Department of Engineering Science, University of Oxford {karen,az}@robots.ox.ac.uk 用于大规模图像识别的深度卷积网络 Karen Simonyan[‡] &am…