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Zero-Shot Object Detection Edit

3 papers with code · Computer Vision

Zero-shot object detection (ZSD) is the task of object detection where no visual training data is available for some of the target object classes.

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Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts

16 Mar 2018salman-h-khan/ZSD_Release

We hypothesize that this setting is ill-suited for real-world applications where unseen objects appear only as a part of a complex scene, warranting both the recognition' and localization' of an unseen category.

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Polarity Loss for Zero-shot Object Detection

22 Nov 2018salman-h-khan/PL-ZSD_Release

This setting gives rise to the need for correct alignment between visual and semantic concepts, so that the unseen objects can be identified using only their semantic attributes.

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Zero-Shot Object Detection by Hybrid Region Embedding

16 May 2018berkandemirel/zero-shot-detection

Object detection is considered as one of the most challenging problems in computer vision, since it requires correct prediction of both classes and locations of objects in images.

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