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Real-Time Object Detection

28 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.

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Latest papers without code

xYOLO: A Model For Real-Time Object Detection In Humanoid Soccer On Low-End Hardware

8 Oct 2019

With the emergence of onboard vision processing for areas such as the internet of things (IoT), edge computing and autonomous robots, there is increasing demand for computationally efficient convolutional neural network (CNN) models to perform real-time object detection on resource constraints hardware devices.

REAL-TIME OBJECT DETECTION

Detection and Identification of Objects and Humans in Thermal Images

8 Oct 2019

In the midst of such critical circumstances created by a fire, this system is able to accurately inform the decision making process of firefighters in real time by extracting crucial information for processing.

DECISION MAKING REAL-TIME OBJECT DETECTION

Adversarial Patches Exploiting Contextual Reasoning in Object Detection

30 Sep 2019

We also show that limiting the use of contextual reasoning in learning the object detector acts as a form of defense that improves the accuracy of the detector after an attack.

ADVERSARIAL ATTACK REAL-TIME OBJECT DETECTION

Lidar based Detection and Classification of Pedestrians and Vehicles Using Machine Learning Methods

12 Jun 2019

The goal of this paper is to classify objects mapped by LiDAR sensor into different classes such as vehicles, pedestrians and bikers.

REAL-TIME OBJECT DETECTION SELF-DRIVING CARS

Efficient Object Detection Model for Real-Time UAV Applications

30 May 2019

We propose a deep feature pyramid architecture which makes use of inherent properties of features extracted from Convolutional Networks by capturing more generic features in the images (such as edge, color etc.)

REAL-TIME OBJECT DETECTION

Object Detection in Specific Traffic Scenes using YOLOv2

12 May 2019

object detection framework plays crucial role in autonomous driving.

AUTONOMOUS DRIVING REAL-TIME OBJECT DETECTION

Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection

19 Apr 2019

To address this problem, we propose a multiple receptive field and small-object-focusing weakly-supervised segmentation network (MRFSWSnet) to achieve fast object detection.

REAL-TIME OBJECT DETECTION SMALL OBJECT DETECTION

Fast object detection in compressed JPEG Images

16 Apr 2019

Object detection in still images has drawn a lot of attention over past few years, and with the advent of Deep Learning impressive performances have been achieved with numerous industrial applications.

REAL-TIME OBJECT DETECTION

FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds

26 Mar 2019

We then introduce a proposal generation network to predict 3D region proposals from the generated maps and further extrude objects of interest from the whole point cloud.

3D OBJECT DETECTION REAL-TIME OBJECT DETECTION

Spiking-YOLO: Spiking Neural Network for Real-time Object Detection

12 Mar 2019

In this paper, we investigate the performance degradation of SNNs in the much more challenging task of object detection.

IMAGE CLASSIFICATION REAL-TIME OBJECT DETECTION