74 citations · 131 across the 8 of their papers we have counts for
3 papers · 1 filter
SPACE: Semantic Projection and Alignment of CLIP Embeddings for Domain Adaptation
João Renato Ribeiro Manesco, Danilo Samuel Jodas, Douglas Rodrigues +2
A fundamental challenge in deploying vision models is domain shift, which arises when training and test data follow different distributions, leading to degraded performance. This c…
PUBO Formulation for MST and Application to Optimum-Path Forest
Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos +5
The Optimum-Path Forest is a graph-based framework for designing classifiers that exploit inter-sample connectivity. A particular variant constructs decision boundaries based on pr…
FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems
Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos +4
Finding the minimum spanning tree (MST) of a graph is an important task in computer vision, as it enables a sparse and low-cost representation of connectivity among elements (such…