Code

This page reports the list of code packages publicly released by us.

Description Link
Deep mid-level representations fusion models for real-world navigation without adaptation https://github.com/fpv-iplab/mid-level-fusion-nav
Reinforcement learning-based robot navigation in real environments using Habitat simulator and adaptation with real images https://github.com/fpv-iplab/habitat-domain-adaptation
STMDA-RetinaNet https://github.com/fpv-iplab/STMDA-RetinaNet
DA-RetinaNet https://github.com/fpv-iplab/DA-RetinaNet
Rolling-Unrolling LSTMs https://github.com/fpv-iplab/rulstm
Egocentric Action Anticipation Losses. https://github.com/fpv-iplab/action-anticipation-losses/
Tool to simulate egocentric Navigations. http://iplab.dmi.unict.it/SimulatedEgocentricNavigations/
Implementation of measures to evaluate action recognition algorithms. http://iplab.dmi.unict.it/EgoActionEvaluation/
Algorithms to perform temporal video segmentation and negative rejection http://iplab.dmi.unict.it/PersonalLocationSegmentation/