49 citations · 230 across the 30 of their papers we have counts for
3 papers · 1 filter
Dense Prediction with Attentive Feature Aggregation
Yung-Hsu Yang, Thomas E. Huang, Min Sun +3
Aggregating information from features across different layers is an essential operation for dense prediction models. Despite its limited expressiveness, feature concatenation domin…
Inferring Latent Domains for Unsupervised Deep Domain Adaptation
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò +2
Unsupervised Domain Adaptation (UDA) refers to the problem of learning a model in a target domain where labeled data are not available by leveraging information from annotated data…
Weakly Supervised Multi-Object Tracking and Segmentation
Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò +2
We introduce the problem of weakly supervised Multi-Object Tracking and Segmentation, i.e. joint weakly supervised instance segmentation and multi-object tracking, in which we do n…