1 citations · 1 across the 3 of their papers we have counts for
3 papers
Background-Free Objectness Learning for Class-Agnostic Detection
Dania Batool, Liliana Lo Presti, Marco La Cascia +1
Object detectors are typically trained under closed-set supervision, where unlabeled regions are implicitly treated as background. Under incomplete annotations, this assumption int…
Sphere-Depth: A Benchmark for Depth Estimation Methods with Varying Spherical Camera Orientations
Soulayma Gazzeh, Giuseppe Mazzola, Liliana Lo Presti +1
Reliable depth estimation from spherical images is crucial for 360° vision in robotic navigation and immersive scene understanding. However, the onboard spherical camera can experi…
Learn&Drop: Fast Learning of CNNs based on Layer Dropping
Giorgio Cruciata, Luca Cruciata, Liliana Lo Presti +2
This paper proposes a new method to improve the training efficiency of deep convolutional neural networks. During training, the method evaluates scores to measure how much each lay…