Abstract: We study the problem of object classification when training and test classes are disjoint, i.e. no training examples of the target classes are available. This setup has hardly been studied ...
This framework offers a sustainable way for teachers to create meaningful learning opportunities from the very beginning of ...
Originally released as part of AppSecCali 2015 Talk "Marshalling Pickles: how deserializing objects will ruin your day" with gadget chains for Apache Commons Collections (3.x and 4.x), Spring ...
(Nov 25, 2021) Evaluation code along with pre-trained models & pre-computed predictions is released. evaluation/README.md Abstract: What constitutes an object? This has been a long-standing question ...
Abstract: Many LiDAR-based methods for detecting large objects, single-class object detection, or under easy situations were claimed to perform well. However, due to their failure to exploit image ...
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