Unidentified Object: How the “Doubtful” Neural Network SDDE Processes Images More Accurately than Its Counterparts
Students from the MISIS University and Moscow Institute of Physics and Technology, in collaboration with researchers from the T-Bank AI Research Lab, have introduced a new ensemble neural network called SDDE (Saliency Diversified Deep Ensembles) that can identify objects in previously unregistered images with greater accuracy than similar networks. This innovation has promising applications in fields like autonomous vehicles and medical diagnostics, where the ability to distinguish unidentified elements and graphic artifacts is crucial. The researchers presented their work in October at the ICIP 2024 International Conference on Image Processing in Abu Dhabi, UAE.
