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

Real-Time Object Detection

32 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 )

Leaderboards

Greatest papers with code

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

22 Apr 2019osmr/imgclsmob

As DenseNet conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the object detection task.

REAL-TIME OBJECT DETECTION SEMANTIC SEGMENTATION SMALL OBJECT DETECTION

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

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

Receptive Field Block Net for Accurate and Fast Object Detection

ECCV 2018 ruinmessi/RFBNet

Current top-performing object detectors depend on deep CNN backbones, such as ResNet-101 and Inception, benefiting from their powerful feature representations but suffering from high computational costs.

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

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

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