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Found 6 papers, 5 papers with code
Deep Subspace Clustering with Data Augmentation
In particular, we introduce a temporal ensembling component to the objective function of DSC algorithms to enable the DSC networks to maintain consistent subspaces for random transformations in the input data.
Multimodal Categorization of Crisis Events in Social Media
Recent developments in image classification and natural language processing, coupled with the rapid growth in social media usage, have enabled fundamental advances in detecting breaking events around the world in real-time.
Deep Sparse Representation-based Classification
The proposed network consists of a convolutional autoencoder along with a fully-connected layer.
Ranked #1 on
Sparse Representation-based Classification
on SVHN
Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
We present an efficient approach for leveraging the knowledge from multiple modalities in training unimodal 3D convolutional neural networks (3D-CNNs) for the task of dynamic hand gesture recognition.
Deep Multimodal Subspace Clustering Networks
In addition to various spatial fusion-based methods, an affinity fusion-based network is also proposed in which the self-expressive layer corresponding to different modalities is enforced to be the same.
Ranked #1 on
Image Clustering
on Extended Yale-B
In2I : Unsupervised Multi-Image-to-Image Translation Using Generative Adversarial Networks
In unsupervised image-to-image translation, the goal is to learn the mapping between an input image and an output image using a set of unpaired training images.
Generative Adversarial Network
Multimodal Unsupervised Image-To-Image Translation
+2
