Browse > Computer Vision > Object Detection > Real-Time Object Detection

Real-Time Object Detection

23 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

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

Fast Object Detection in Compressed Video

27 Nov 2018

MMNet has two major advantages: 1) For a group of successive pictures (GOP) in a compressed video stream, it runs the heavy computational network for I-frames, i. e. a few reference frames in videos, while a light-weight memory network is designed to generate features for prediction frames called P-frames; 2) Unlike establishing an additional network to explicitly model motion among frames, we directly take full advantage of both motion vectors and residual errors that are all encoded in a compressed video.

REAL-TIME OBJECT DETECTION

A Convolutional Neural Network based Live Object Recognition System as Blind Aid

26 Nov 2018

This paper introduces a live object recognition system that serves as a blind aid.

OBJECT RECOGNITION REAL-TIME OBJECT DETECTION

ShuffleDet: Real-Time Vehicle Detection Network in On-board Embedded UAV Imagery

15 Nov 2018

On-board real-time vehicle detection is of great significance for UAVs and other embedded mobile platforms.

REAL-TIME OBJECT DETECTION

YOLO-LITE: A Real-Time Object Detection Algorithm Optimized for Non-GPU Computers

14 Nov 2018

This paper focuses on YOLO-LITE, a real-time object detection model developed to run on portable devices such as a laptop or cellphone lacking a Graphics Processing Unit (GPU).

REAL-TIME OBJECT DETECTION