Search Results for author: Boyu Yang

Found 5 papers, 2 papers with code

Tackling Non-Stationarity in Reinforcement Learning via Causal-Origin Representation

no code implementations5 Jun 2023 Wanpeng Zhang, Yilin Li, Boyu Yang, Zongqing Lu

COREP primarily employs a guided updating mechanism to learn a stable graph representation for states termed as causal-origin representation.

reinforcement-learning

Learnable Distribution Calibration for Few-Shot Class-Incremental Learning

no code implementations1 Oct 2022 Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye

LDC is built upon a parameterized calibration unit (PCU), which initializes biased distributions for all classes based on classifier vectors (memory-free) and a single covariance matrix.

Few-Shot Class-Incremental Learning Few-Shot Learning +2

Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning

no code implementations6 Apr 2021 Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye

By tentatively expanding network nodes, LEC-Net enlarges the representation capacity of features, alleviating feature drift of old network from the perspective of model regularization.

Few-Shot Class-Incremental Learning Incremental Learning

Beyond Max-Margin: Class Margin Equilibrium for Few-shot Object Detection

2 code implementations CVPR 2021 Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye

Few-shot object detection has made substantial progressby representing novel class objects using the feature representation learned upon a set of base class objects.

Few-Shot Object Detection object-detection

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