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In real-world computer vision applications, many intrinsic and extrinsic variations can cause a significant domain shift. Although deep convolutional models have provided us with better domain-invariant features, existing mechanisms to adapt convolutional activations are still limited. Notice that convolutional activations are intrinsically represented as tensors, in this paper we develop a two-dimensional...
Shape retrieval and shape-based object recognition are closely related problems; however, they have different task contexts, performance criteria, and database characteristics. In previous work, we proposed a method for similarity-based 2-D shape retrieval using scale-space part decompositions, part-frequency distributions, and structural indexing. In this paper, we evaluate the use of that shape...
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