OBER (OBject-Effect Removal) is a hybrid dataset designed to support research in object removal with effects, combining both camera-captured and simulated data. 🔥 We have released the full dataset ...

Abstract: In this paper, we propose Deeply Supervised Object Detectors (DSOD), an object detection framework that can be trained from scratch. Recent advances in object detection heavily depend on the ...

Researchers at Cyera found six vulnerabilities in prtobuf.js, including a flaw that can turn attacker-controlled schema data ...

The fast Continuous Wavelet Transform (fCWT) is a highly optimized C++ library for very fast calculation of the CWT in C++, Matlab, and Python. fCWT has been featured on the January 2022 cover of ...

Abstract: In this paper we present the Yale-CMU-Berkeley (YCB) Object and Model set, intended to be used for benchmarking in robotic grasping and manipulation research. The objects in the set are ...