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cs.CV2026
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…
cs.CV2026★ 1 cited
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…