ReConvNet overview
ReConvNet: Video Object Segmentation with Spatio-Temporal Features Modulation
The DAVIS Challenge on Video Object Segmentation - CVPR Workshop, 2018

We consider Video Object Segmentation from a Meta-Learning perspective where each task consists of segmenting objects in a video given a single annotation. We learn how to adapt the activations of a neural network to segment a given object via two modulation networks conditioned on the available information at test time.

Joint work with Francesco Lattari, Matteo Matteucci, Jonathan Masci and Francesco Visin