Multi-label Bird Species Classification Using Ensemble of Pre-trained Networks

Author:

Noumida A.1,Mukund R.1,Nair N. Madhavan1,Rajan Rajeev2

Affiliation:

1. College of Engineering Trivandrum,Thiruvananthapuram,India

2. Govt. Engineering College, Barton Hill,Thiruvananthapuram,India

Publisher

IEEE

Reference24 articles.

1. Deep convex representations: Feature representations for bioa-coustics classification;thakur;Proceedings of International Conference on Spoken Language Processing,2018

2. Deep Metric Learning: A Survey

3. Compressed Convex Spectral Embedding for Bird Species Classification

4. Data-efficient classification of birdcall through convolutional neural networks transfer learning;efremova;Digital Image Computing Techniques and Applications (DICTA'05),2019

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1. An Eagle-Eye Vision: Advancements in Avian Species Classification;2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS);2023-12-11

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3. Stacked Res2Net-CBAM with Grouped Channel Attention for Multi-Label Bird Species Classification;2023 31st European Signal Processing Conference (EUSIPCO);2023-09-04

4. Multi-Label Bird Species Classification Using Sequential Aggregation Strategy from Audio Recordings;Computing and Informatics;2023

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