Small 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
• osmr/imgclsmob
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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
We propose a multi-level feature fusion method for introducing contextual information in SSD, in order to improve the accuracy for small objects.
Augmentation for small object detection
• siddhanthaldar/PyTorch_Object_Detection
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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
• siddhanthaldar/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.