3 Result(s)
within
Conference Paper
Yogesh Balaji
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Chapter and Conference Paper
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
We introduce Domain-specific Masks for Generalization, a model for improving both in-domain and out-of-domain generalization performance. For domain generalization, the goal is to learn from a set of source dom...
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Chapter and Conference Paper
Curriculum Manager for Source Selection in Multi-source Domain Adaptation
The performance of Multi-Source Unsupervised Domain Adaptation depends significantly on the effectiveness of transfer from labeled source domain samples. In this paper, we proposed an adversarial agent that le...
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Chapter and Conference Paper
Deep Decoupling of Defocus and Motion Blur for Dynamic Segmentation
We address the challenging problem of segmenting dynamic objects given a single space-variantly blurred image of a 3D scene captured using a hand-held camera. The blur induced at a particular pixel on a moving...
