Michael Spratling
King's College
H-index: 26
North America-United States
Top articles of Michael Spratling
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
A predictive coding model of the N400 | Cognition | Samer Nour Eddine Trevor Brothers Lin Wang Michael Spratling Gina R Kuperberg | 2024/5/1 |
Query semantic reconstruction for background in few-shot segmentation | The Visual Computer | Haoyan Guan Michael Spratling | 2024/2 |
Data augmentation alone can improve adversarial training | Lin Li Michael Spratling | 2023/1/24 | |
AROID: improving adversarial robustness through online instance-wise data augmentation | arXiv preprint arXiv:2306.07197 | Lin Li Jianing Qiu Michael Spratling | 2023/6/12 |
Explaining away results in more robust visual tracking | The Visual Computer | Bo Gao Michael W Spratling | 2023/5 |
Comprehensive assessment methods are key to progress in deep learning | The Behavioral and brain sciences | Michael W Spratling | 2023/12/6 |
Understanding and combating robust overfitting via input loss landscape analysis and regularization | Pattern Recognition | Lin Li Michael Spratling | 2023/4/1 |
The importance of anti-aliasing in tiny object detection | Jinlai Ning Michael Spratling | 2023/10/22 | |
OODRobustBench: benchmarking and analyzing adversarial robustness under distribution shift | arXiv preprint arXiv:2310.12793 | Lin Li Yifei Wang Chawin Sitawarin Michael Spratling | 2023/10/19 |
Improved adversarial training through adaptive instance-wise loss smoothing | arXiv preprint arXiv:2303.14077 | Lin Li Michael Spratling | 2023/3/24 |
Comprehensive assessment of the performance of deep learning classifiers reveals a surprising lack of robustness | arXiv preprint arXiv:2308.04137 | Michael W Spratling | 2023/8/8 |
Rethinking the backbone architecture for tiny object detection | Jinlai Ning Haoyan Guan Michael Spratling | 2023/3/20 | |
Robust template matching via hierarchical convolutional features from a shape biased CNN | Bo Gao Michael W Spratling | 2022/3/3 | |
Registration based few-shot anomaly detection | Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael Spratling | 2022/11/6 | |
On the biological plausibility of orthogonal initialisation for solving gradient instability in deep neural networks | Nikolay Manchev Michael Spratling | 2022/11/26 | |
More robust object tracking via shape and motion cue integration | Signal Processing | Bo Gao Michael W Spratling | 2022/10/1 |
Shape–texture debiased training for robust template matching | Sensors | Bo Gao Michael W Spratling | 2022/9/2 |
Explaining away results in accurate and tolerant template matching | Pattern Recognition | Michael W Spratling | 2020/3/14 |
Target propagation in recurrent neural networks | Journal of Machine Learning Research | Nikolay Manchev Michael Spratling | 2020 |
Co-Authors
