3 citations · 4 across the 9 of their papers we have counts for
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cs.CV2023★ 1 cited
Learning Transformations To Reduce the Geometric Shift in Object Detection
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
The performance of modern object detectors drops when the test distribution differs from the training one. Most of the methods that address this focus on object appearance changes…
cs.CV2023★ 3 cited
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
Vidit Vidit, Martin Engilberge, Mathieu Salzmann
Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain. While this has been well st…