2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.AI2024
MFA-Net: Multi-Scale feature fusion attention network for liver tumor segmentation
Yanli Yuan, Bingbing Wang, Chuan Zhang +3
Segmentation of organs of interest in medical CT images is beneficial for diagnosis of diseases. Though recent methods based on Fully Convolutional Neural Networks (F-CNNs) have sh…
cs.CV2023★ 1 cited
Learning from Pseudo-labeled Segmentation for Multi-Class Object Counting
Jingyi Xu, Hieu Le, Dimitris Samaras
Class-agnostic counting (CAC) has numerous potential applications across various domains. The goal is to count objects of an arbitrary category during testing, based on only a few…
cs.CV2023★ 2 cited
Generating Features with Increased Crop-related Diversity for Few-Shot Object Detection
Jingyi Xu, Hieu Le, Dimitris Samaras
Two-stage object detectors generate object proposals and classify them to detect objects in images. These proposals often do not contain the objects perfectly but overlap with them…