1 citations · 1 across the 6 of their papers we have counts for
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Visual-Prompt Guided Wildlife Instance-Level Recognition
Mufhumudzi Muthivhi, Jiahao Huo, Terence van Zyl +1
Fine-grained wildlife re-identification remains a challenging area in research. Current state-of-the-art approaches apply a detection and re-identification pipeline. We propose a o…
Multi-Object Tracking Consistently Improves Wildlife Inference
Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson +1
Camera traps have become a common tool for wildlife monitoring efforts in ecological research and biodiversity conservation. Wildlife classification models have benefited from the…
Nearest-Class Mean and Logits Agreement for Wildlife Open-Set Recognition
Jiahao Huo, Mufhumudzi Muthivhi, Terence L. van Zyl +1
Current state-of-the-art Wildlife classification models are trained under the closed world setting. When exposed to unknown classes, they remain overconfident in their predictions.…
Improving Wildlife Out-of-Distribution Detection: Africas Big Five
Mufhumudzi Muthivhi, Jiahao Huo, Fredrik Gustafsson +1
Mitigating human-wildlife conflict seeks to resolve unwanted encounters between these parties. Computer Vision provides a solution to identifying individuals that might escalate in…
Unique Faces Recognition in Videos
Jiahao Huo, Terence L van Zyl
This paper tackles face recognition in videos employing metric learning methods and similarity ranking models. The paper compares the use of the Siamese network with contrastive lo…