Interesting computer vision articles

[jan-kleks]

I have recently stumbled upon this very interesting computer vision article about recognizing species of insects which can be hard to identify. Maybe you will find there some ideas for further improving the iNaturalist project.

Automated Taxonomic Identification of Insects with Expert-Level Accuracy Using Effective Feature Transfer from Convolutional Networks -- https://academic.oup.com/sysbio/article/68/6/876/5368535

Keep up the great work!

[jan-kleks]

Other interesting articles:

• How we accidentally built the most accurate AI insect detection app -- https://www.linkedin.com/pulse/how-we-accidentally-built-most-accurate-ai-insect-detection-krish

🤔 Does this article imply that it might be enough to remove background/shadows (possibly this stage could be automatized with another algorithm/AI) to get much better training results overall?

• Classifying the Unknown: Identification of Insects by Deep Zero-shot Bayesian Learning -- https://www.researchgate.net/publication/356706523_Classifying_the_Unknown_Identification_of_Insects_by_Deep_Zero-shot_Bayesian_Learning

• The Benefits of Using Stable Diffusion AI in Image Recognition: https://ts2.space/en/the-benefits-of-using-stable-diffusion-ai-in-image-recognition/

• The Power of AI-Generated Training Data: Image Recognition With DALL-E

• TomatoDIFF: On-plant Tomato Segmentation with Denoising Diffusion Models

• Accurate detection and identification of insects from camera trap images with deep learning

• Textural Analysis for Medicinal Plants Identification Using Log Gabor Filters

• Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry

• Image-based taxonomic classification of bulk insect biodiversity samples using deep learning and domain adaptation

• Machine learning for expert-level image-based identification of very similar species in the hyperdiverse plant bug family Miridae (Hemiptera: Heteroptera)