There are 6 repositories under retinanet topic.
OpenMMLab Detection Toolbox and Benchmark
Pytorch implementation of RetinaNet object detection.
计算机视觉相关论文整理、记录、分享; 包括图像分类、目标检测、视觉跟踪/目标跟踪、人脸识别/人脸验证、OCR/场景文本检测及识别等领域。欢迎加星,欢迎指正错误,同时也期待能够共同参与！！! 持续更新中... ...
Fast and accurate object detection with end-to-end GPU optimization
[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021
convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据
Focal Loss for Dense Rotation Object Detection
Object Detection API Tensorflow
SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.
Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)
[S+SSPR2020] IterDet: Iterative Scheme for Object Detection in Crowded Environments
A PyTorch Implementation of Feature Selective Anchor-Free Module for Single-Shot Object Detection (CVPR'19)
Some experiments with object detection in PyTorch
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
Deep Learning for Automatic Pneumonia Detection, RSNA challenge
OpenVINO Training Extensions Object Detection
A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.
Using RetinaNet for object detection from drone images in Teknofest istanbul 2019 Artificial Intelligence Competition
:neckbeard:Unofficial implementation of EfficientDet
IoU-aware single-stage object detector for accurate localization
Focal Loss for Dense Object Detection.
RetinaNet implementation in PyTorch
This repository holds the code framework used in the paper Reg R-CNN: Lesion Detection and Grading under Noisy Labels. It is a fork of MIC-DKFZ/medicaldetectiontoolkit with regression capabilites.
Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.
TensorFlow2.x implementation of RetinaNet
Keras implementation of RetinaNet for object detection and visual relationship identification
Simple mmdetection CPU inference
Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'
Object detection and localization with Tensorflow 2 and Keras
An approach to detecting face masks in crowded places built using RetinaNet Face for face mask detection and Xception network for classification.
(Pytorch) Beyond Paper ! 35.9mAP@r50-700px-1x