Search Results for "baseline"

PyTorch training code and pretrained models for DETR (DEtection TRansformer). We replace the full complex hand-crafted object detection pipeline with a Transformer, and match Faster R-CNN with a ResNet-50, obtaining 42 AP on COCO using half the computation power (FLOPs) and the same number of parameters. Inference in 50 lines of PyTorch. What it is. Unlike traditional computer vision techniques, DETR approaches object detection as a direct set prediction problem. It consists of a set-based...

The Object Conversion Library aims to provide developers with a baseline template for object conversion. The library can included to a project to allow a developer to build specific object conversion features. A more detailed explanation can be found in the documentation section of the repository.