Those packages use GPU acceleration for DNN inference to estimate the pose of an object. The output prediction can be used by perception functions when fusing with the corresponding depth to provide ...

Abstract: Open-set object detection (OSOD) is an important research direction in computer vision, focusing on enhancing a model’s ability to detect unknown categories. Current methods are overly ...

c++11 or above x86 platform with AVX2 instruction GCC or LLVM compiler (not support MSVC compiler now) Linux OS using SIMD to accelerate skipping white space. using SIMD to find escaped chars when ...

Abstract: In computer vision, almost all object detectors solve close-set object detection, assuming only known objects appear in the test environment. However, open-set object detection remains ...