43 citations · 163 across the 30 of their papers we have counts for
8 papers · 1 filter
Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method
Lu Zhang, Yang Wang, Jiaogen Zhou +5
Few-shot object detection (FSOD) is to detect objects with a few examples. However, existing FSOD methods do not consider hierarchical fine-grained category structures of objects t…
Stochastic absolute value equations
Shouqiang Du, Jingjing Sun, Shengqun Niu +1
We propose a new kind of stochastic absolute value equations involving absolute values of variables. By utilizing an equivalence relation to stochastic bilinear program, we investi…
MetaNOR: A Meta-Learnt Nonlocal Operator Regression Approach for Metamaterial Modeling
Lu Zhang, Huaiqian You, Yue Yu
We propose MetaNOR, a meta-learnt approach for transfer-learning operators based on the nonlocal operator regression. The overall goal is to efficiently provide surrogate models fo…
AGA: An Accelerated Greedy Additional Algorithm for Test Case Prioritization
Feng Li, Jianyi Zhou, Yinzhu Li +2
In recent years, many test case prioritization (TCP) techniques have been proposed to speed up the process of fault detection. However, little work has taken the efficiency problem…
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu, Lu Zhang
In this paper, we propose a framework for achieving long-term fair sequential decision making. By conducting both the hard and soft interventions, we propose to take path-specific…
Recent Few-Shot Object Detection Algorithms: A Survey with Performance Comparison
Tianying Liu, Lu Zhang, Yang Wang +4
The generic object detection (GOD) task has been successfully tackled by recent deep neural networks, trained by an avalanche of annotated training samples from some common classes…