DiffusionFR: Species Recognition of Fish in Blurry Scenarios via Diffusion and Attention
G Wang, B Shi, X Yi, P Wu, L Kong, L Mo - Animals, 2024 - mdpi.com
Simple Summary Blurry scenarios often affect the clarity of fish images, posing significant
challenges to deep learning models in terms of the accurate recognition of fish species. A …
challenges to deep learning models in terms of the accurate recognition of fish species. A …
[PDF][PDF] XtremeLLMs: Towards Extremely Large Language Models
The continuous expansion of Large Language Models (LLMs) has significantly transformed
the fields of artificial intelligence (AI) and natural language processing (NLP). This paper …
the fields of artificial intelligence (AI) and natural language processing (NLP). This paper …
Expanding an adaptive learning-rate algorithm to handle mini-batch training
S Holst Andersen - 2024 - lup.lub.lu.se
Resilient backpropagation, Rprop, is a robust and accurate optimization method used in
neural network training with batch-learning. As a result of its adaptive step sizes, Rprop …
neural network training with batch-learning. As a result of its adaptive step sizes, Rprop …