FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

Related tags

Deep LearningFCOSR
Overview

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection

FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
arXiv preprint (arXiv:2111.10780).

This implement is modified from mmdetection. We also refer to the codes of ReDet, PIoU, and ProbIoU.

In the process of implementation, we find that only Python code processing will produce huge memory overhead on Nvidia devices. Therefore, we directly write the label assignment module proposed in this paper in the form of CUDA extension of Pytorch. The program could not work effectively when we migrate it to cuda 11 (only support cuda10). By applying CUDA expansion, the memory utilization is improved and a lot of unnecessary calculations are reduced. We also try to train FCOSR-M on 2080ti (4 images per device), which can basically fill memory of graphics card.

Install

Please refer to install.md for installation and dataset preparation.

Getting Started

Please see get_started.md for the basic usage.

Model Zoo

benchmark

The password of baiduPan is ABCD

FCOSR serise DOTA 1.0 result.FPS(2080ti) Detail

Model backbone MS Sched. Param. Input GFLOPs FPS mAP download
FCOSR-S Mobilenet v2 - 3x 7.32M 1024×1024 101.42 23.7 74.05 model/cfg
FCOSR-S Mobilenet v2 ✓ 3x 7.32M 1024×1024 101.42 23.7 76.11 model/cfg
FCOSR-M ResNext50-32x4 - 3x 31.4M 1024×1024 210.01 14.6 77.15 model/cfg
FCOSR-M ResNext50-32x4 ✓ 3x 31.4M 1024×1024 210.01 14.6 79.25 model/cfg
FCOSR-L ResNext101-64x4 - 3x 89.64M 1024×1024 445.75 7.9 77.39 model/cfg
FCOSR-L ResNext101-64x4 ✓ 3x 89.64M 1024×1024 445.75 7.9 78.80 model/cfg

FCOSR serise DOTA 1.5 result. FPS(2080ti) Detail

Model backbone MS Sched. Param. Input GFLOPs FPS mAP download
FCOSR-S Mobilenet v2 - 3x 7.32M 1024×1024 101.42 23.7 66.37 model/cfg
FCOSR-S Mobilenet v2 ✓ 3x 7.32M 1024×1024 101.42 23.7 73.14 model/cfg
FCOSR-M ResNext50-32x4 - 3x 31.4M 1024×1024 210.01 14.6 68.74 model/cfg
FCOSR-M ResNext50-32x4 ✓ 3x 31.4M 1024×1024 210.01 14.6 73.79 model/cfg
FCOSR-L ResNext101-64x4 - 3x 89.64M 1024×1024 445.75 7.9 69.96 model/cfg
FCOSR-L ResNext101-64x4 ✓ 3x 89.64M 1024×1024 445.75 7.9 75.41 model/cfg

FCOSR serise HRSC2016 result. FPS(2080ti)

Model backbone Rot. Sched. Param. Input GFLOPs FPS AP50(07) AP75(07) AP50(12) AP75(12) download
FCOSR-S Mobilenet v2 ✓ 40k iters 7.29M 800×800 61.57 35.3 90.08 76.75 92.67 75.73 model/cfg
FCOSR-M ResNext50-32x4 ✓ 40k iters 31.37M 800×800 127.87 26.9 90.15 78.58 94.84 81.38 model/cfg
FCOSR-L ResNext101-64x4 ✓ 40k iters 89.61M 800×800 271.75 15.1 90.14 77.98 95.74 80.94 model/cfg

Lightweight FCOSR test result on Jetson Xavier NX (DOTA 1.0 single-scale). Detail

Model backbone Head channels Sched. Param Size Input GFLOPs FPS mAP onnx TensorRT
FCOSR-lite Mobilenet v2 256 3x 6.9M 51.63MB 1024×1024 101.25 7.64 74.30 Wait rtr
FCOSR-tiny Mobilenet v2 128 3x 3.52M 23.2MB 1024×1024 35.89 10.68 73.93 Wait rtr
Owner
GitHub Repository
Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary Differential Equations

ODE GAN (Prototype) in PyTorch Partial implementation of ODE-GAN technique from the paper Training Generative Adversarial Networks by Solving Ordinary

Somshubra Majumdar 15 Feb 10, 2022
[ICCV21] Code for RetrievalFuse: Neural 3D Scene Reconstruction with a Database

RetrievalFuse Paper | Project Page | Video RetrievalFuse: Neural 3D Scene Reconstruction with a Database Yawar Siddiqui, Justus Thies, Fangchang Ma, Q

Yawar Nihal Siddiqui 75 Dec 22, 2022
The official repository for paper ''Domain Generalization for Vision-based Driving Trajectory Generation'' submitted to ICRA 2022

DG-TrajGen The official repository for paper ''Domain Generalization for Vision-based Driving Trajectory Generation'' submitted to ICRA 2022. Our Meth

Wang 25 Sep 26, 2022
Adaptive Graph Convolution for Point Cloud Analysis

Adaptive Graph Convolution for Point Cloud Analysis This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph

64 Dec 21, 2022
Code/data of the paper "Hand-Object Contact Prediction via Motion-Based Pseudo-Labeling and Guided Progressive Label Correction" (BMVC2021)

Hand-Object Contact Prediction (BMVC2021) This repository contains the code and data for the paper "Hand-Object Contact Prediction via Motion-Based Ps

Takuma Yagi 13 Nov 07, 2022
An efficient framework for reinforcement learning.

rl: An efficient framework for reinforcement learning Requirements Introduction PPO Test Requirements name version Python =3.7 numpy =1.19 torch =1

16 Nov 30, 2022
This code is a near-infrared spectrum modeling method based on PCA and pls

Nirs-Pls-Corn This code is a near-infrared spectrum modeling method based on PCA and pls 近红外光谱分析技术属于交叉领域，需要化学、计算机科学、生物科学等多领域的合作。为此，在（北邮邮电大学杨辉华老师团队）指导下

Fu Pengyou 6 Dec 17, 2022
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers

DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generative Transformers Authors: Jaemin Cho, Abhay Zala, and Mohit Bansal (

Jaemin Cho 98 Dec 15, 2022
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations Code repo for paper Trans-Encoder: Unsupervised sentence-pa

Amazon 101 Dec 29, 2022
Repository for the COLING 2020 paper "Explainable Automated Fact-Checking: A Survey."

Explainable Fact Checking: A Survey This repository and the accompanying webpage contain resources for the paper "Explainable Fact Checking: A Survey"

Neema Kotonya 42 Nov 17, 2022
Simulator for FRC 2022 challenge: Rapid React

rrsim Simulator for FRC 2022 challenge: Rapid React out-1.mp4 Usage In order to run the simulator use the following: python3 rrsim.py [config_path] wh

1 Jan 18, 2022
Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning.

Collection of tasks for fast prototyping, baselining, finetuning and solving problems with deep learning Installation

Pytorch Lightning 1.6k Jan 08, 2023
[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning | 斗地主AI

[ICML 2021] DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning DouZero is a reinforcement learning framework for DouDizhu (斗地主), t

Kwai Inc. 3.1k Jan 04, 2023
Deep and online learning with spiking neural networks in Python

Introduction The brain is the perfect place to look for inspiration to develop more efficient neural networks. One of the main differences with modern

Jason Eshraghian 447 Jan 03, 2023
Remote sensing change detection using PaddlePaddle

Change Detection Laboratory Developing and benchmarking deep learning-based remo

Lin Manhui 15 Sep 23, 2022
Bayesian Optimization using GPflow

Note: This package is for use with GPFlow 1. For Bayesian optimization using GPFlow 2 please see Trieste, a joint effort with Secondmind. GPflowOpt GP

GPflow 257 Dec 26, 2022
LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.

LogDeep is an open source deeplearning-based log analysis toolkit for automated anomaly detection.

donglee 279 Dec 13, 2022
Huawei Hackathon 2021 - Sweden (Stockholm)

huawei-hackathon-2021 Contributors DrakeAxelrod Challenge Requirements: python=3.8.10 Standard libraries (no importing) Important factors: Data depend

Drake Axelrod 32 Nov 08, 2022
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.

Bottom-Up and Top-Down Attention for Visual Question Answering An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge. The

Hengyuan Hu 731 Jan 03, 2023
Train an RL agent to execute natural language instructions in a 3D Environment (PyTorch)

Gated-Attention Architectures for Task-Oriented Language Grounding This is a PyTorch implementation of the AAAI-18 paper: Gated-Attention Architecture

Devendra Chaplot 234 Nov 05, 2022