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20212024
most citedDistribution-aware Margin Calibration for Semantic Segmentation in Images

20 citations · 21 across the 5 of their papers we have counts for

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5 papers

quant-ph2024

Algorithmic Analysis of Termination Problems for Nondeterministic Quantum Programs

Jianling Fu, Hui Jiang, Ming Xu +2

We consider the two categories of termination problems of quantum programs with nondeterminism: 1) Is an input of a program terminating with probability one under all schedulers? I…

cs.CV20231 cited

Pose-Graph Attentional Graph Neural Network for Lidar Place Recognition

Milad Ramezani, Liang Wang, Joshua Knights +3

This paper proposes a pose-graph attentional graph neural network, called P-GAT, which compares (key)nodes between sequential and non-sequential sub-graphs for place recognition ta…

cs.LG2023

Exploiting Field Dependencies for Learning on Categorical Data

Zhibin Li, Piotr Koniusz, Lu Zhang +2

Traditional approaches for learning on categorical data underexploit the dependencies between columns (\aka fields) in a dataset because they rely on the embedding of data points d…

cs.CV2022

Self-attention on Multi-Shifted Windows for Scene Segmentation

Litao Yu, Zhibin Li, Jian Zhang +1

Scene segmentation in images is a fundamental yet challenging problem in visual content understanding, which is to learn a model to assign every image pixel to a categorical label.…

cs.CV202120 cited

Distribution-aware Margin Calibration for Semantic Segmentation in Images

Litao Yu, Zhibin Li, Min Xu +3

The Jaccard index, also known as Intersection-over-Union (IoU), is one of the most critical evaluation metrics in image semantic segmentation. However, direct optimization of IoU s…