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most citedECAM: A Contrastive Learning Approach to Avoid Environmental Collision in Trajectory Forecasting

2 citations · 4 across the 5 of their papers we have counts for

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cs.CV2021

Adversarial Branch Architecture Search for Unsupervised Domain Adaptation

Luca Robbiano, Muhammad Rameez Ur Rahman, Fabio Galasso +2

Unsupervised Domain Adaptation (UDA) is a key issue in visual recognition, as it allows to bridge different visual domains enabling robust performances in the real world. To date,…