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

Real-Time Object Detection

23 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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Latest papers with code

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 REAL-TIME OBJECT DETECTION REAL-TIME SEMANTIC SEGMENTATION

61
08 Jun 2019

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

22 Apr 2019stigma0617/maskrcnn-benchmark-vovnet

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 SMALL OBJECT DETECTION

1
22 Apr 2019

CornerNet-Lite: Efficient Keypoint Based Object Detection

18 Apr 2019princeton-vl/CornerNet-Lite

Together these two variants address the two critical use cases in efficient object detection: improving efficiency without sacrificing accuracy, and improving accuracy at real-time efficiency.

REAL-TIME OBJECT DETECTION

1,063
18 Apr 2019

Objects as Points

16 Apr 2019xingyizhou/CenterNet

We model an object as a single point --- the center point of its bounding box.

KEYPOINT DETECTION REAL-TIME OBJECT DETECTION

1,476
16 Apr 2019

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

NeurIPS 2018 Robert-JunWang/Pelee

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

REAL-TIME OBJECT DETECTION

701
01 Dec 2018

Fast and accurate object detection in high resolution 4K and 8K video using GPUs

24 Oct 2018previtus/AttentionPipeline

Machine learning has celebrated a lot of achievements on computer vision tasks such as object detection, but the traditionally used models work with relatively low resolution images.

REAL-TIME OBJECT DETECTION

22
24 Oct 2018

Dual Refinement Networks for Accurate and Fast Object Detection in Real-World Scenes

23 Jul 2018SeanChenxy/TDRN

As for temporal detection in real-world scenes, temporal refinement networks (TRN) and temporal dual refinement networks (TDRN) are developed by propagating the refinement information across time, where we also propose a loose refinement strategy to match object motion with the previous refinement.

REAL-TIME OBJECT DETECTION

7
23 Jul 2018

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

NeurIPS 2018 Robert-JunWang/Pelee

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

REAL-TIME OBJECT DETECTION

701
18 Apr 2018

YOLOv3: An Incremental Improvement

8 Apr 2018ultralytics/yolov3

At 320x320 YOLOv3 runs in 22 ms at 28. 2 mAP, as accurate as SSD but three times faster.

REAL-TIME OBJECT DETECTION

1,642
08 Apr 2018