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

Real-Time Object Detection

26 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.

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Greatest papers with code

Pelee: A Real-Time Object Detection System on Mobile Devices

NeurIPS 2018 osmr/imgclsmob

In this study, we propose an efficient architecture named PeleeNet, which is built with conventional convolution instead.

REAL-TIME OBJECT DETECTION

SqueezeDet: Unified, Small, Low Power Fully Convolutional Neural Networks for Real-Time Object Detection for Autonomous Driving

4 Dec 2016BichenWuUCB/squeezeDet

In addition to requiring high accuracy to ensure safety, object detection for autonomous driving also requires real-time inference speed to guarantee prompt vehicle control, as well as small model size and energy efficiency to enable embedded system deployment.

AUTONOMOUS DRIVING REAL-TIME OBJECT DETECTION

PVANet: Lightweight Deep Neural Networks for Real-time Object Detection

23 Nov 2016sanghoon/pva-faster-rcnn

In object detection, reducing computational cost is as important as improving accuracy for most practical usages.

REAL-TIME OBJECT DETECTION

SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications

25 Jul 2019PengyiZhang/SlimYOLOv3

Drones or general Unmanned Aerial Vehicles (UAVs), endowed with computer vision function by on-board cameras and embedded systems, have become popular in a wide range of applications.

REAL-TIME OBJECT DETECTION SCENE PARSING

A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection

25 Jul 2016zhaoweicai/mscnn

A unified deep neural network, denoted the multi-scale CNN (MS-CNN), is proposed for fast multi-scale object detection.

FACE DETECTION PEDESTRIAN DETECTION REAL-TIME OBJECT DETECTION

DiCENet: Dimension-wise Convolutions for Efficient Networks

8 Jun 2019sacmehta/EdgeNets

Our model shows significant improvements over state-of-the-art models across various visual recognition tasks, including image classification, object detection, and semantic segmentation.

IMAGE CLASSIFICATION NEURAL ARCHITECTURE SEARCH REAL-TIME OBJECT DETECTION REAL-TIME SEMANTIC SEGMENTATION

Training-Time-Friendly Network for Real-Time Object Detection

2 Sep 2019ZJULearning/ttfnet

Experiments on MS COCO show that our TTFNet has great advantages in balancing training time, inference speed, and accuracy.

REAL-TIME OBJECT DETECTION

DeNet: Scalable Real-time Object Detection with Directed Sparse Sampling

ICCV 2017 lachlants/denet

Subsequently we identify a sparse distribution estimation scheme, Directed Sparse Sampling, and employ it in a single end-to-end CNN based detection model.

OBJECT LOCALIZATION REAL-TIME OBJECT DETECTION