Search Results for author: Xiangzhong Fang

Found 6 papers, 2 papers with code

Few-Shot Class-Incremental Learning via Class-Aware Bilateral Distillation

1 code implementation CVPR 2023 Linglan Zhao, Jing Lu, Yunlu Xu, Zhanzhan Cheng, Dashan Guo, Yi Niu, Xiangzhong Fang

While knowledge distillation, a prevailing technique in CIL, can alleviate the catastrophic forgetting of older classes by regularizing outputs between current and previous model, it fails to consider the overfitting risk of novel classes in FSCIL.

Few-Shot Class-Incremental Learning General Knowledge +3

Im2Oil: Stroke-Based Oil Painting Rendering with Linearly Controllable Fineness Via Adaptive Sampling

1 code implementation27 Sep 2022 Zhengyan Tong, Xiaohang Wang, Shengchao Yuan, Xuanhong Chen, Junjie Wang, Xiangzhong Fang

Comparison with existing state-of-the-art oil painting techniques shows that our results have higher fidelity and more realistic textures.

A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning

no code implementations21 Oct 2021 Linlan Zhao, Dashan Guo, Yunlu Xu, Liang Qiao, Zhanzhan Cheng, ShiLiang Pu, Yi Niu, Xiangzhong Fang

Few-shot learning (FSL) aims to learn models that generalize to novel classes with limited training samples.

Few-Shot Learning

Deformable Tube Network for Action Detection in Videos

no code implementations3 Jul 2019 Wei Li, Zehuan Yuan, Dashan Guo, Lei Huang, Xiangzhong Fang, Changhu Wang

To perform action detection, we design a 3D convolution network with skip connections for tube classification and regression.

Action Detection Action Recognition

Knowing Where to Look? Analysis on Attention of Visual Question Answering System

no code implementations9 Oct 2018 Wei Li, Zehuan Yuan, Xiangzhong Fang, Changhu Wang

Attention mechanisms have been widely used in Visual Question Answering (VQA) solutions due to their capacity to model deep cross-domain interactions.

Question Answering Visual Question Answering

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