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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2025

When Language Model Guides Vision: Grounding DINO for Cattle Muzzle Detection

Rabin Dulal, Lihong Zheng, Muhammad Ashad Kabir

Muzzle patterns are among the most effective biometric traits for cattle identification. Fast and accurate detection of the muzzle region as the region of interest is critical to a…

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…