ML Research Wiki / Benchmarks / Object Detection / UA-DETRAC

UA-DETRAC

Object Detection Benchmark

Performance Over Time

📊 Showing 8 results | 📏 Metric: mAP

Top Performing Models

Rank Model Paper mAP Date Code
1 FFAVOD-SpotNet with U-Net FFAVOD: Feature Fusion Architecture for Video Object Detection 88.10 2021-09-15 📦 hu64/ffavod
2 SpotNet SpotNet: Self-Attention Multi-Task Network for Object Detection 86.80 2020-02-13 📦 hu64/SpotNet
3 CenterNet Objects as Points 83.48 2019-04-16 📦 tensorflow/models 📦 open-mmlab/mmdetection 📦 PaddlePaddle/PaddleDetection
4 RN-VID RN-VID: A Feature Fusion Architecture for Video Object Detection 70.57 2020-03-24 📦 hu64/RN-VID
5 R-FCN R-FCN: Object Detection via Region-based Fully Convolutional Networks 69.87 2016-05-20 📦 facebookresearch/detectron 📦 msracver/Deformable-ConvNets 📦 daijifeng001/r-fcn
6 Faster R-CNN Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 58.45 2015-06-04 📦 facebookresearch/detectron2 📦 open-mmlab/mmdetection 📦 facebookresearch/detectron
7 YOLOv2 YOLO9000: Better, Faster, Stronger 57.72 2016-12-25 📦 AlexeyAB/darknet 📦 PaddlePaddle/PaddleDetection 📦 thtrieu/darkflow
8 3D-DETNet 3D-DETNet: a Single Stage Video-Based Vehicle Detector 53.30 2018-01-05 -

All Papers (8)

Objects as Points

2019
CenterNet