Log In Sign Up

Feature-Fused SSD: Fast Detection for Small Objects

by   Guimei Cao, et al.

Small objects detection is a challenging task in computer vision due to its limited resolution and information. In order to solve this problem, the majority of existing methods sacrifice speed for improvement in accuracy. In this paper, we aim to detect small objects at a fast speed, using the best object detector Single Shot Multibox Detector (SSD) with respect to accuracy-vs-speed trade-off as base architecture. We propose a multi-level feature fusion method for introducing contextual information in SSD, in order to improve the accuracy for small objects. In detailed fusion operation, we design two feature fusion modules, concatenation module and element-sum module, different in the way of adding contextual information. Experimental results show that these two fusion modules obtain higher mAP on PASCALVOC2007 than baseline SSD by 1.6 and 1.7 points respectively, especially with 2-3 points improvement on some smallobjects categories. The testing speed of them is 43 and 40 FPS respectively, superior to the state of the art Deconvolutional single shot detector (DSSD) by 29.4 and 26.4 FPS. Keywords: small object detection, feature fusion, real-time, single shot multi-box detector


page 1

page 3

page 6

page 7


FSSD: Feature Fusion Single Shot Multibox Detector

SSD (Single Shot Multibox Detetor) is one of the best object detection a...

Detecting The Objects on The Road Using Modular Lightweight Network

This paper presents a modular lightweight network model for road objects...

Dual Refinement Network for Single-Shot Object Detection

Object detection methods fall into two categories, i.e., two-stage and s...

Seismic Shot Gather Noise Localization Using a Multi-Scale Feature-Fusion-Based Neural Network

Deep learning-based models, such as convolutional neural networks, have ...

Towards an efficient framework for Data Extraction from Chart Images

In this paper, we fill the research gap by adopting state-of-the-art com...

Extend the shallow part of Single Shot MultiBox Detector via Convolutional Neural Network

Single Shot MultiBox Detector (SSD) is one of the fastest algorithms in ...