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Real-Time Object Detection

40 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 )

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Greatest papers with code

Focal Loss for Dense Object Detection

ICCV 2017 tensorflow/models

Our novel Focal Loss focuses training on a sparse set of hard examples and prevents the vast number of easy negatives from overwhelming the detector during training.

DENSE OBJECT DETECTION REAL-TIME OBJECT DETECTION REGION PROPOSAL

R-FCN: Object Detection via Region-based Fully Convolutional Networks

NeurIPS 2016 facebookresearch/detectron

In contrast to previous region-based detectors such as Fast/Faster R-CNN that apply a costly per-region subnetwork hundreds of times, our region-based detector is fully convolutional with almost all computation shared on the entire image.

REAL-TIME OBJECT DETECTION

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

NeurIPS 2015 facebookresearch/detectron

In this work, we introduce a Region Proposal Network (RPN) that shares full-image convolutional features with the detection network, thus enabling nearly cost-free region proposals.

REAL-TIME OBJECT DETECTION REGION PROPOSAL

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

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

YOLOv3: An Incremental Improvement

8 Apr 2018AlexeyAB/darknet

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

#5 best model for Real-Time Object Detection on COCO (FPS metric)

REAL-TIME OBJECT DETECTION

You Only Look Once: Unified, Real-Time Object Detection

CVPR 2016 thtrieu/darkflow

A single neural network predicts bounding boxes and class probabilities directly from full images in one evaluation.

REAL-TIME OBJECT DETECTION