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cs.CV2026
SpikeCLR: Contrastive Self-Supervised Learning for Few-Shot Event-Based Vision using Spiking Neural Networks
Maxime Vaillant, Axel Carlier, Lai Xing Ng +2
Event-based vision sensors provide significant advantages for high-speed perception, including microsecond temporal resolution, high dynamic range, and low power consumption. When…
cs.CV2017★ 72 cited
Cost-Effective Active Learning for Melanoma Segmentation
Marc Gorriz, Axel Carlier, Emmanuel Faure +1
We propose a novel Active Learning framework capable to train effectively a convolutional neural network for semantic segmentation of medical imaging, with a limited amount of trai…