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Real-Time Object Detection

48 papers with code ยท Computer Vision
Subtask of Object Detection

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

Latest papers without code

Artificial Intelligence Enabled Traffic Monitoring System

2 Oct 2020

A pixel-level segmentation approach is applied to detect traffic queues and predict severity.

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

TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems

9 Apr 2020

The rapid growth of real-time huge data capturing has pushed the deep learning and data analytic computing to the edge systems.

AUTONOMOUS DRIVING OBJECT RECOGNITION REAL-TIME OBJECT DETECTION ROBUST OBJECT DETECTION

Real Time Detection of Small Objects

17 Mar 2020

The existing real time object detection algorithm is based on the deep neural network of convolution need to perform multilevel convolution and pooling operations on the entire image to extract a deep semantic characteristic of the image.

REAL-TIME OBJECT DETECTION

AU-AIR: A Multi-modal Unmanned Aerial Vehicle Dataset for Low Altitude Traffic Surveillance

31 Jan 2020

As a result of this, several aerial datasets have been introduced, including visual data with object annotations.

REAL-TIME OBJECT DETECTION

Real-Time Object Detection and Recognition on Low-Compute Humanoid Robots using Deep Learning

20 Jan 2020

In this paper, we describe a novel architecture that enables multiple low-compute NAO robots to perform real-time detection, recognition and localization of objects in its camera view and take programmable actions based on the detected objects.

QUANTIZATION REAL-TIME OBJECT DETECTION

Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware

18 Dec 2019

Though cameras that perform compressive sensing save a lot of bandwidth at the time of sampling and minimize the memory required to store videos, we cannot do much in terms of processing until the videos are reconstructed to the original frames.

COMPRESSIVE SENSING REAL-TIME OBJECT DETECTION VIDEO COMPRESSION