3 accepted papers
We present EMMa, an Extensible, Multimodal dataset of Amazon product listings that contains rich Material annotations. It contains more than 2.8 million objects, each with image(s), listing text, mass, price, product ratings, and position in Amazon’s product-category taxonomy. We also design a compr…
Many computer vision applications require solving multiple tasks in real-time. A neural network can be trained to solve multiple tasks simultaneously using multi-task learning. This can save computation at inference time as only a single network needs to be evaluated. Unfortunately, this often leads…
Successful robotic manipulation of real-world objects requires an understanding of the physical properties of these objects. We propose a model for estimating one such physical property, mass, from an object’s image. We collect a large dataset of online product information containing images, sizes,