Marco Fornoni — accepted AI-conference papers

2024

MobileNetV4: Universal Models for the Mobile Ecosystem

Danfeng Qin*, Chas H Leichner, Manolis Delakis, Marco Fornoni, Shixin Luo, Fan Yang +8

ECCV 2024oral

"We present the latest generation of MobileNets: MobileNetV4 (MNv4). They feature universally-efficient architecture designs for mobile devices. We introduce the Universal Inverted Bottleneck (UIB) search block, a unified and flexible structure that merges Inverted Bottleneck (IB), ConvNext, Feed Fo…

Cited by 193 Source ↗PDF ↗code ↗Scholar ↗

2022

On Label Granularity and Object Localization

Elijah Cole, Kimberly Wilber, Grant Van Horn, Xuan Yang, Marco Fornoni, Pietro Perona +3

ECCV 2022poster

"Weakly supervised object localization (WSOL) aims to learn representations that encode object location using only image-level category labels. However, many objects can be labeled at different levels of granularity. Is it an animal, a bird, or a great horned owl? Which image-level labels should we…

Cited by 13 Source ↗PDF ↗code ↗Scholar ↗