There are 7 repositories under retinanet topic.
OpenMMLab Detection Toolbox and Benchmark
Pytorch implementation of RetinaNet object detection.
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.
SimpleAICV:pytorch training and testing examples.
Sample apps to demonstrate how to deploy models trained with TAO on DeepStream
Focal Loss for Dense Rotation Object Detection
Object Detection API Tensorflow
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
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
A PyTorch Implementation of Feature Selective Anchor-Free Module for Single-Shot Object Detection (CVPR'19)
Some experiments with object detection in PyTorch
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
IoU-aware single-stage object detector for accurate localization
:neckbeard:Unofficial implementation of EfficientDet
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'
A Detection Toolbox for Tensorflow2
A Rotation RetinaNet Pytorch Implementation on HRSC and SSDD Dataset.
Focal Loss for Dense Object Detection.
RetinaNet implementation in PyTorch
TensorFlow2.x implementation of RetinaNet
Pytorch implementation of RetinaNet using EfficientNets as feature extractor or backbone network.
Animal Detection in Man-made Environments using Deep Learning
Object detection and localization with Tensorflow 2 and Keras
Python code for analysing object detection metrics
Keras implementation of RetinaNet for object detection and visual relationship identification