GitHub

NapoleonWils0n/davinci-resolve-freebsd

16 GB of system memory. 32 GB when using Fusion. GPU: Discrete with at least 2GB VRAM, supporting OpenCL 1.2 or CUDA 11.
IEEE

CenterNet++ for Object Detection

Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...
IEEE

Tiny Object Detection in Remote Sensing Images Based on Object Reconstruction and Multiple Receptive Field Adaptive Feature Enhancement

Abstract: Tiny object detection in the field of remote sensing has always been a challenging and interesting topic. Despite many researchers working on this problem, it has not been well-solved due to ...
GitHub

Learning Open-World Object Proposals without Learning to Classify

Humans can recognize novel objects in this image despite having never seen them before. “Is it possible to learn open-world (novel) object proposals?” In this paper we propose Object Localization ...