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Real-time object detection is the task of doing object detection in real-time with fast inference while maintaining a base level of accuracy.

( Image credit: CenterNet )

Benchmarks

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Datasets

Latest papers without code

Screening COVID-19 cases using Deep Neural Networks with X-ray images

24 Nov 2020

My model produced a classification accuracy of 98. 08% for binary classes and 87. 02% for multi-class cases.

REAL-TIME OBJECT DETECTION

Modality-Buffet for Real-Time Object Detection

17 Nov 2020

Real-time object detection in videos using lightweight hardware is a crucial component of many robotic tasks.

DECISION MAKING REAL-TIME OBJECT DETECTION

Real-time object detection method based on improved YOLOv4-tiny

9 Nov 2020

YOLOv4-tiny is proposed based on YOLOv4 to simple the network structure and reduce parameters, which makes it be suitable for developing on the mobile and embedded devices.

REAL-TIME OBJECT DETECTION

Fast Object Detection with Latticed Multi-Scale Feature Fusion

5 Nov 2020

In this work, we present a novel module, the Fluff block, to alleviate drawbacks of current multi-scale fusion methods and facilitate multi-scale object detection.

REAL-TIME OBJECT DETECTION

Artificial Intelligence Enabled Traffic Monitoring System

2 Oct 2020

Real-time object detection algorithms coupled with different tracking systems are deployed to automatically detect stranded vehicles as well as perform vehicular counts.

REAL-TIME OBJECT DETECTION

Globally-scalable Automated Target Recognition (GATR)

10 Sep 2020

On a single GPU it processes imagery at a rate of over 16 square km/sec (or more than 10 Mpixels/sec), and it requires only two hours to search the entire state of Pennsylvania for gas fracking wells.

REAL-TIME OBJECT DETECTION

Edge Network-Assisted Real-Time Object Detection Framework for Autonomous Driving

17 Aug 2020

In an EODF, AVs extract the region of interests~(RoIs) of the captured image when the channel quality is not sufficiently good for supporting real-time OD.

AUTONOMOUS DRIVING REAL-TIME OBJECT DETECTION

Object Detection in the Context of Mobile Augmented Reality

15 Aug 2020

Ordinary object detection approaches process information from the images only, and they are oblivious to the camera pose with regard to the environment and the scale of the environment.

REAL-TIME OBJECT DETECTION

Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras

12 Jul 2020

The lack of an open-source traffic estimation method using open data platforms is a bottleneck for building sophisticated navigation services on top of OpenStreetMap (OSM).

REAL-TIME OBJECT DETECTION TRAFFIC PREDICTION