CDD.Net A Context-Driven Detection Network for Multiclass Object Detection


In contrast to object detection in natural images, which typically achieves a high level of success, the process of detecting and localizing multiclass objects in remote sensing imagery presents its own unique challenges. These challenges include large-scale change, uncertain direction, and high density. When it comes to resolving these issues with remote sensing images, having information about the context of the objects is extremely helpful. To improve the precision of multiclass object detection in remote sensing images, we suggest using a context-driven detection network (CDD.Net) in this letter. In order to learn the local context of the region of interest and thus capture the local neighboring objects and features, a local context feature network, abbreviated LCFN, has been proposed as a solution. In the meantime, a hybrid attention pyramid network (HAPN) is being designed. This network is able to direct attention to features that are more valuable. The feature pyramid network is enhanced with the addition of a squeeze and excitation block (SEB) and three asymmetric convolution blocks (ACBs) courtesy of the HAPN (FPN). Experimenting with the CDD.Net proposed here on the DOTA-v1.5 data set reveals that the results it produces are quite encouraging overall.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Video Dissemination over Hybrid Cellular and Ad Hoc Networks - 2014 ABSTRACT: We study the problem of disseminating videos to mobile users by using a hybrid cellular and ad hoc network. In particular, we formulate
PROJECT TITLE : Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor Network - 2014 ABSTRACT: Recently, the research focus on geographic routing, a promising routing scheme in wireless sensor networks (WSNs),
PROJECT TITLE : Security Analysis of Handover Key Management in 4G LTESAE Networks - 2014 ABSTRACT: The goal of 3GPP Long Term Evolution/System Architecture Evolution (LTE/SAE) is to move mobile cellular wireless technology
PROJECT TITLE : Secure and Efficient Data Transmission for Cluster-Based Wireless Sensor Networks - 2014 ABSTRACT: Secure data transmission is a critical issue for wireless sensor networks (WSNs). Clustering is an effective
PROJECT TITLE : PSR A Lightweight Proactive Source Routing Protocol For Mobile Ad Hoc Networks - 2014 ABSTRACT: Opportunistic data forwarding has drawn much attention in the research community of multihop wireless networking,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry