1 citations · 1 across the 6 of their papers we have counts for
6 papers
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…
Incremental Class Learning using Variational Autoencoders with Similarity Learning
Jiahao Huo, Terence L. van Zyl
Catastrophic forgetting in neural networks during incremental learning remains a challenging problem. Previous research investigated catastrophic forgetting in fully connected netw…
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…