3 papers
cs.LG2026
Complexity of Linear Regions in Self-supervised Deep ReLU Networks
Mufhumudzi Muthivhi, Terence L. van Zyl
There has been growing interest in studying the complexity of Rectified Linear Unit (ReLU) based activation networks. Recent work investigates the evolution of the number of piecew…
cs.CV2025
Wildlife Target Re-Identification Using Self-supervised Learning in Non-Urban Settings
Mufhumudzi Muthivhi, Terence L. van Zyl
Wildlife re-identification aims to match individuals of the same species across different observations. Current state-of-the-art (SOTA) models rely on class labels to train supervi…
cs.CV2025
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…