# Hybrid Neural Network Architecture for Multi-Label Object Recognition using Feature Fusion

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/hybrid-neural-network-architecture-for-multi-label-object-recognition-using/

## Facts

| Field | Value |
| --- | --- |
| Author Names | S Divya Meena,Veeramachaneni Gayathri siva sameeraja,Nagineni Sai Lasya,Meda Sathvika,Veluru Harshitha,J Sheela |
| Citations | 7 |
| DOI | 10.1016/j.procs.2022.12.009 |
| Fields | Computer Science,Engineering |
| Open Access | true |
| OA Status | diamond |
| OA URL | https://www.sciencedirect.com/science/article/pii/S1877050922020804/pdf |
| OpenAlex ID | https://openalex.org/W4313315027 |
| Type | conference-paper |
| Year | 2022 |

## Paper authors

- [J Sheela](https://scholariq.org/researchers/j-sheela/)

## Paper journal

- [Procedia Computer Science](https://scholariq.org/journals/procedia-computer-science/)

## Paper primary topic

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)

## Paper topics

- [Advanced Image and Video Retrieval Techniques](https://scholariq.org/topics/advanced-image-and-video-retrieval-techniques/)
- [Remote-Sensing Image Classification](https://scholariq.org/topics/remote-sensing-image-classification/)
- [Image Retrieval and Classification Techniques](https://scholariq.org/topics/image-retrieval-and-classification-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.