Title |
|---|
| Name | # Papers | # Citations |
|---|---|---|
| Date | Location | Event |
|---|---|---|
Focuses on developing and refining Mamba architectures for deep learning. Enhances model performance across a variety of tasks by leveraging efficient and scalable model structures.
Title |
|---|
Title | |||
|---|---|---|---|
![]() State Space and Self-Attention Collaborative Network with Feature Aggregation for DOA Estimation Qi You Qinghua Huang Yi-Cheng Lin | |||
![]() Larger Hausdorff Dimension in Scanning Pattern Facilitates Mamba-Based Methods in Low-Light Image Enhancement Xinhua Wang Caibo Feng Xiangjun Fu Chunxiao Liu | |||
![]() DeRainMamba: A Frequency-Aware State Space Model with Detail Enhancement for Image DerainingIEEE Signal Processing Letters (IEEE SPL), 2025 | |||
![]() Wavelet-Assisted Mamba for Satellite-Derived Sea Surface Temperature Super-ResolutionIEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2025 | |||
| Name (-) |
|---|
| Name (-) |
|---|
| Name (-) |
|---|
| Date | Location | Event | |
|---|---|---|---|
| No social events available | |||