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Small Object Detection

6 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

Small-Object Detection in Remote Sensing Images with End-to-End Edge-Enhanced GAN and Object Detector Network

20 Mar 2020Jakaria08/Filter_Enhance_Detect

Inspired by the success of edge enhanced GAN (EEGAN) and ESRGAN, we apply a new edge-enhanced super-resolution GAN (EESRGAN) to improve the image quality of remote sensing images and use different detector networks in an end-to-end manner where detector loss is backpropagated into the EESRGAN to improve the detection performance.

IMAGE ENHANCEMENT REMOTE SENSING IMAGE CLASSIFICATION SATELLITE IMAGE SUPER-RESOLUTION SMALL OBJECT DETECTION SUPER-RESOLUTION

Underwater object detection using Invert Multi-Class Adaboost with deep learning

23 May 2020LongChenCV/SWIPENet

In addition, we propose a novel sample-weighted loss function which can model sample weights for SWIPENet, which uses a novel sample re-weighting algorithm, namely Invert Multi-Class Adaboost (IMA), to reduce the influence of noise on the proposed SWIPENet.

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

The performance of small object detection, however, is still less than satisfactory because of the deficiency of semantic information on shallow feature maps.

SMALL OBJECT DETECTION