4 accepted papers
Different gradient-based methods for optimizing overparameterized models can all achieve zero training error yet converge to distinctly different solutions inducing different generalization properties. We provide the first complete characterization of implicit optimization bias for p-norm normalized…
Visual-inertial odometry with low-cost visual and inertial sensors can provide accurate navigation results in GNSS-denied environment. However, the mainstream methods currently suffer from the inevitable accumulation of position and heading errors over long-term operation. Inspired by the compound e
The popularity of bi-level optimization (BO) in deep learning has spurred a growing interest in studying gradient-based BO algorithms. However, existing algorithms involve two coupled learning rates that can be affected by approximation errors when computing hypergradients, making careful fine-tunin…
The recent development of the on-chip micro-polarizer technology has made it possible to acquire - with the same ease of operation as a conventional camera - spatially aligned and temporally synchronized polarization images simultaneously in four orientations. This development has created new opport