most citedMHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification

1 citations · 1 across the 1 of their papers we have counts for

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2 papers

cs.CV2025★ 1 cited

MHAFF: Multi-Head Attention Feature Fusion of CNN and Transformer for Cattle Identification

Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir

Convolutional Neural Networks (CNNs) have drawn researchers' attention to identifying cattle using muzzle images. However, CNNs often fail to capture long-range dependencies within…

cs.DC2025

LEISA: A Scalable Microservice-based System for Efficient Livestock Data Sharing

Mahir Habib, Muhammad Ashad Kabir, Lihong Zheng

In the livestock sector, the fragmented data landscape across isolated systems presents a significant challenge, necessitating interoperability and integration. In this article, we…