3 accepted papers
Task-oriented matching is one of the core aspects of few-shot Action Recognition. Most previous works leverage the metric features within the support and query sets of individual tasks, without considering the metric information across different matching tasks. This oversight represents a significan…
Traditional direct SLAM methods formulate the camera pose and map estimation as minimization of the photometric error, which is tackled by the Gauss-Newton algorithm or the Levenberg-Marquardt algorithm in the optimization. However, the convexity of the photometric error only holds in a small region
In this letter, we propose a novel semantic direct monocular simultaneous localization and mapping (SLAM) system that fuses the semantic information obtained by an advanced deep neural network (DNN) into direct sparse odometry with loop closure(LDSO), with the purpose of improving the localization a