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cs.CV2026
Metric-Guided Feature Fusion of Visual Foundation Models for Segmentation Tasks
Yachan Guo, JoseLuis Gomez Zurita, Danna Xue +2
Although large-scale visual foundation models (VFMs) achieve remarkable performance in semantic understanding, they still underperform in instance-aware dense prediction tasks. The…
cs.CV2020
Co-training for On-board Deep Object Detection
Gabriel Villalonga, Antonio M. Lopez
Providing ground truth supervision to train visual models has been a bottleneck over the years, exacerbated by domain shifts which degenerate the performance of such models. This w…
cs.CV2019
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models
César Roberto de Souza, Adrien Gaidon, Yohann Cabon +2
Deep video action recognition models have been highly successful in recent years but require large quantities of manually annotated data, which are expensive and laborious to obtai…