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Found 5 papers, 2 papers with code
Traffic Accident Benchmark for Causality Recognition
We propose a brand new benchmark for analyzing causality in traffic accident videos by decomposing an accident into a pair of events, cause and effect.
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
In the first stage, we estimate pseudo-labels for the examples in the target domain using an external unsupervised domain adaptation algorithm---for example, MSTN or CPUA---integrating the proposed domain-specific batch normalization.
Bayesian Optimization with Approximate Set Kernels
We propose a practical Bayesian optimization method over sets, to minimize a black-box function that takes a set as a single input.
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Overfitting is one of the most critical challenges in deep neural networks, and there are various types of regularization methods to improve generalization performance.
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network
We propose an online visual tracking algorithm by learning discriminative saliency map using Convolutional Neural Network (CNN).
