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Small Object Detection

4 papers with code · Computer Vision
Subtask of Object Detection

Small object detection is the task of detecting small objects.

( Image credit: Feature-Fused SSD )

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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

Feature-Fused SSD: Fast Detection for Small Objects

15 Sep 2017wnzhyee/Feature-Fused-SSD

We propose a multi-level feature fusion method for introducing contextual information in SSD, in order to improve the accuracy for small objects.

SMALL OBJECT DETECTION

Augmentation for small object detection

19 Feb 2019siddhanthaldar/PyTorch_Object_Detection

We evaluate different pasting augmentation strategies, and ultimately, we achieve 9. 7\% relative improvement on the instance segmentation and 7. 1\% on the object detection of small objects, compared to the current state of the art method on

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION SMALL OBJECT DETECTION

MDSSD: Multi-scale Deconvolutional Single Shot Detector for Small Objects

18 May 2018siddhanthaldar/PyTorch_Object_Detection

For most of the object detectors based on multi-scale feature maps, the shallow layers are mainly responsible for small object detection due to their fine details.

SMALL OBJECT DETECTION