CLASSIFICATION algorithmsPICTURE frames & framingThe article is about the classification of anomaly detection dataset-UCF videos obtained from Kaggle. The data set consists of 4-class video files. While three of them consist of different crimes and abnormal events such as Burglary, Explosion, ...
A new video based multi behavior dataset for cows, CBVD-5, is introduced in this paper. The dataset includes five cow behaviors: standing, lying down, foraging,rumination and drinking. The dataset comprises 107 cows from the entire barn, maintaining an 80% stocking density. Monitoring occurred ...
The YouTube-8M video classification challenge requires teams to classify 0.7 million videos into one or more of 4,716 classes. In this Kaggle competition, we placed in the top 3% out of 650 participants using released video and audio features. Beyond that, we extend the original competition by...
Tensorflow implementation of paper “Efficient Video Classification Using Fewer Frames”. Introduction To begin with, the paper is based on a kaggle competition2nd Youtube8M Video Understanding Challenge on Kaggle. It is a video classification task over theYouTube-8Mdataset, which contains 8 million ...
the first two releases of the YouTube-8M large scale dataset for multi-label video classification, and (iii) the THUMOS'14 and MultiTHUMOS video dataset... N Nauata,H Hu,GT Zhou,... - 《IEEE Transactions on Pattern Analysis & Machine Intelligence》 被引量: 0发表: 2020年 Cross-modal ...
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. 853 JedWatson/react-select TypeScript 27.792k The Select Co...
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where 𝑦𝑖yi is the ground truth that indicates if frame i is 0 or 1, ℬ[𝑖]B[i] is L-filter’s classification of frame i, and n is the number of samples in the training dataset. Hence, 0≤ℒ≤10≤L≤1. In order to minimize the loss, we used the Adam optimizer. Spe...
This feature vector is mapped to a single class by an additional classification layer. This single class corresponds to the individual’s ID shown in the dataset sample. Figure 4 shows the training procedure. Note that, for the image-based method, the instances of the dataset are single ...