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Dense Object Detection

5 papers with code · Computer Vision
Subtask of Object Detection

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Latest papers with code

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

8 Jun 2020implus/GFocal

Specifically, we merge the quality estimation into the class prediction vector to form a joint representation of localization quality and classification, and use a vector to represent arbitrary distribution of box locations.

DENSE OBJECT DETECTION

146
08 Jun 2020
40
19 Dec 2019

Precise Detection in Densely Packed Scenes

CVPR 2019 eg4000/SKU110K_CVPR19

We propose a novel, deep-learning based method for precise object detection, designed for such challenging settings.

DENSE OBJECT DETECTION

484
01 Apr 2019

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

64,962
07 Aug 2017