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.

Focal Loss for Dense Rotation Object Detection

An implementation of RetinaNet in PyTorch.

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)

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

CCFDF AI 数钢筋大赛

A PyTorch Implementation of Feature Selective Anchor-Free Module for Single-Shot Object Detection (CVPR'19)

Deep Learning for Automatic Pneumonia Detection, RSNA challenge

OpenVINO Training Extensions Object Detection

[MICCAI 2024, top 11%] Official Pytorch implementation of Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in Mammography

Using RetinaNet for object detection from drone images in Teknofest istanbul 2019 Artificial Intelligence Competition

IoU-aware single-stage object detector for accurate localization

A Rotation RetinaNet Pytorch Implementation on HRSC and SSDD Dataset.

Official Detectron2 implementation of DA-RetinaNet, An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites, Image and Vision Computing (IMAVIS) 2021

A Detection Toolbox for Tensorflow2

Modern PyTorch toolkit for the VisDrone aerial object detection dataset with production-ready training pipelines, real-time inference, and format converters. Features state-of-the-art models (Faster R-CNN, FCOS, RetinaNet), mixed precision training, rich progress tracking, and optimizations for small object detection in drone imagery.