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A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning

Rahman, Shafin; Khan, Salman Hameed; Porikli, Fatih


Prevalent techniques in zero-shot learning do not generalize well to other related problem scenarios. Here, we present a unified approach for conventional zero-shot, generalized zero-shot and few-shot learning problems. Our approach is based on a novel Class Adapting Principal Directions (CAPD) concept that allows multiple embeddings of image features into a semantic space. Given an image, our method produces one principal direction for each seen class. Then, it learns how to combine these...[Show more]

CollectionsANU Research Publications
Date published: 2018
Type: Journal article
Source: IEEE Transactions on Image Processing
DOI: 10.1109/TIP.2018.2861573


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