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Real-Time Object Detection

48 papers with code · 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 with code

Robust and Efficient Post-Processing for Video Object Detection (REPP)

1 Oct 2020AlbertoSabater/Robust-and-efficient-post-processing-for-video-object-detection

Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks.

AUTONOMOUS DRIVING DENSE OBJECT DETECTION OBJECT RECOGNITION REAL-TIME OBJECT DETECTION VIDEO OBJECT DETECTION

15
01 Oct 2020

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

12 Sep 2020CoCoPIE-Pruning/CoCoPIE-ModelZoo

In this work, we propose YOLObile framework, a real-time object detection on mobile devices via compression-compilation co-design.

REAL-TIME OBJECT DETECTION

49
12 Sep 2020

Neural Compression and Filtering for Edge-assisted Real-time Object Detection in Challenged Networks

31 Jul 2020yoshitomo-matsubara/hnd-ghnd-object-detectors

However, poor conditions of the wireless channel connecting the mobile devices to the edge servers may degrade the overall capture-to-output delay achieved by edge offloading.

REAL-TIME OBJECT DETECTION

3
31 Jul 2020

Understanding Object Detection Through An Adversarial Lens

11 Jul 2020git-disl/TOG

We demonstrate that the proposed framework can serve as a methodical benchmark for analyzing adversarial behaviors and risks in real-time object detection systems.

AUTONOMOUS VEHICLES REAL-TIME OBJECT DETECTION

6
11 Jul 2020

YOLOv4: Optimal Speed and Accuracy of Object Detection

23 Apr 2020pjreddie/darknet

There are a huge number of features which are said to improve Convolutional Neural Network (CNN) accuracy.

DATA AUGMENTATION REAL-TIME OBJECT DETECTION

19,049
23 Apr 2020

SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization

CVPR 2020 tensorflow/tpu

We propose SpineNet, a backbone with scale-permuted intermediate features and cross-scale connections that is learned on an object detection task by Neural Architecture Search.

INSTANCE SEGMENTATION NEURAL ARCHITECTURE SEARCH REAL-TIME OBJECT DETECTION

3,919
10 Dec 2019

Density-based Object Detection: Learning Bounding Boxes without Ground Truth Assignment

ICLR 2021 youtang1993/mixture-model-based-object-detector

In this paper, we reformulate the multi-object detection task as a problem of density estimation of bounding boxes.

DENSITY ESTIMATION REAL-TIME OBJECT DETECTION

0
28 Nov 2019

CSPNet: A New Backbone that can Enhance Learning Capability of CNN

27 Nov 2019AlexeyAB/darknet

Neural networks have enabled state-of-the-art approaches to achieve incredible results on computer vision tasks such as object detection.

IMAGE CLASSIFICATION REAL-TIME OBJECT DETECTION

13,337
27 Nov 2019
66,845
20 Nov 2019