ProcSim: Proxy-based Confidence for Robust Similarity Learning

no code implementations • 1 Nov 2023 • Oriol Barbany, Xiaofan Lin, Muhammet Bastan, Arnab Dhua

Deep Metric Learning (DML) methods aim at learning an embedding space in which distances are closely related to the inherent semantic similarity of the inputs.

Metric Learning Semantic Similarity +1

Towards Accurate Binary Convolutional Neural Network

2 code implementations • NeurIPS 2017 • Xiaofan Lin, Cong Zhao, Wei Pan

We introduce a novel scheme to train binary convolutional neural networks (CNNs) -- CNNs with weights and activations constrained to {-1,+1} at run-time.