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A Comprehensive Review of Modern Object Segmentation Approaches
Image segmentation is the task of associating pixels in an image with their respective object class labels.
Deep Learning-based Online Alternative Product Recommendations at Scale
In this paper, we use both textual product information (e. g. product titles and descriptions) and customer behavior data to recommend alternative products.
Interpretable Methods for Identifying Product Variants
For e-commerce companies with large product selections, the organization and grouping of products in meaningful ways is important for creating great customer shopping experiences and cultivating an authoritative brand image.
Video Jigsaw: Unsupervised Learning of Spatiotemporal Context for Video Action Recognition
We propose a self-supervised learning method to jointly reason about spatial and temporal context for video recognition.
DiscrimNet: Semi-Supervised Action Recognition from Videos using Generative Adversarial Networks
We propose an action recognition framework using Gen- erative Adversarial Networks.
Complex Event Recognition from Images with Few Training Examples
We propose to leverage concept-level representations for complex event recognition in photographs given limited training examples.
