Cross-Domain Few-Shot Classification based on Lightweight Res2Net and Flexible GNN
- 24 March 2022
- journal article
- research article
- Published by Elsevier BV in Knowledge-Based Systems
- Vol. 247, 108623
- https://doi.org/10.1016/j.knosys.2022.108623
Abstract
No abstract availableKeywords
Funding Information
- Sichuan University (2020SCUNG205)
- National Natural Science Foundation of China (61860206007, 62101360, U19A2071)
This publication has 16 references indexed in Scilit:
- Richer Convolutional Features for Edge DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2018
- Smoothed Dilated Convolutions for Improved Dense PredictionPublished by Association for Computing Machinery (ACM) ,2018
- SSH: Single Stage Headless Face DetectorPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- How Far are We from Solving the 2D & 3D Face Alignment Problem? (and a Dataset of 230,000 3D Facial Landmarks)Published by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- Domain-Adversarial Training of Neural NetworksPublished by Springer Science and Business Media LLC ,2017
- Places: A 10 Million Image Database for Scene RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
- Dilated Residual NetworksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2017
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence, 2016
- 3D Object Representations for Fine-Grained CategorizationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2013