[D] SOTA in Object Detection?

So I've done object detection a few years ago where FRCNN, SSD and YOLO were popular together with stuff like RESNET and VGG as backbones.
Coming back to an object detection task today in 2024, I can't find any major improvements or really new architectures. Am I missing something or is this still the SOTA?

Thanks! :)

architectures detection improvements machinelearning major object popular resnet something sota ssd together vgg yolo