1 citations · 1 across the 5 of their papers we have counts for
5 papers
Toward Optimal Sampling Rate Selection and Unbiased Classification for Precise Animal Activity Recognition
Axiu Mao, Meilu Zhu, Lei Shen +3
With the rapid advancements in deep learning techniques, wearable sensor-aided animal activity recognition (AAR) has demonstrated promising performance, thereby improving livestock…
FL-MedSegBench: A Comprehensive Benchmark for Federated Learning on Medical Image Segmentation
Meilu Zhu, Zhiwei Wang, Axiu Mao +4
Federated learning (FL) offers a privacy-preserving paradigm for collaborative medical image analysis without sharing raw data. However, the absence of standardized benchmarks for…
CKSP: Cross-species Knowledge Sharing and Preserving for Universal Animal Activity Recognition
Axiu Mao, Meilu Zhu, Zhaojin Guo +3
Deep learning techniques are dominating automated animal activity recognition (AAR) tasks with wearable sensors due to their high performance on large-scale labelled data. However,…
DEeR: Deviation Eliminating and Noise Regulating for Privacy-preserving Federated Low-rank Adaptation
Meilu Zhu, Axiu Mao, Jun Liu +1
Integrating low-rank adaptation (LoRA) with federated learning (FL) has received widespread attention recently, aiming to adapt pretrained foundation models (FMs) to downstream med…
Occlusion-Resistant Instance Segmentation of Piglets in Farrowing Pens Using Center Clustering Network
Endai Huang, Axiu Mao, Junhui Hou +5
Computer vision enables the development of new approaches to monitor the behavior, health, and welfare of animals. Instance segmentation is a high-precision method in computer visi…