Mar 17, 2021 · Abstract:This paper revisits feature pyramids networks (FPN) for one-stage detectors and points out that the success of FPN is due to its ...

This paper revisits feature pyramids networks (FPN) for one-stage detectors and points out that the success of FPN is due to its divide-and-conquer solution ...

A simple, fast, and efficient object detector without FPN. This repo provides a neat implementation for YOLOF based on Detectron2. A cvpods version can be ...

This paper revisits feature pyramids networks (FPN) for one-stage detectors and points out that the success of FPN is due to its divide-and-conquer solution ...

This paper revisits feature pyramids networks (FPN) for one-stage detectors and points out that the success of FPN is due to its divide-and-conquer solution ...

Oct 14, 2021 · Encoder. Taking inspiration from FPN, the YOLOF encoder adds two projection layers — one 1 × 1 and one 3 × 3 convolution — after the backbone.

Mar 17, 2023 · This detector, called YOLOF-F (you only look one-level feature fusion), is a single-stage detector that extracts multi-scale feature information ...

Apr 21, 2022 · YOLOF is a simple but highly efficient method without using FPN to address the optimization problem differently, denoted as YOLOF. We prove its ...

This paper revisits feature pyramids networks (FPN) for one-stage detectors and points out that the success of FPN is due to its divide-and-conquer solution ...