SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction
No official code found. Best implementation: THU-luvision/SPECAT (56 stars, last commit 2024-03-27).
No official code found. Best implementation: THU-luvision/SPECAT (56 stars, last commit 2024-03-27).
EvoControl: Multi-Frequency Bi-Level Control for High-Frequency Continuous Control
RFMamba: Frequency-Aware State Space Model for RF-Based Human-Centric Perception
Bi-SSC: Geometric-Semantic Bidirectional Fusion for Camera-Based 3D Semantic Scene Completion
DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks
RA-TTA: Retrieval-Augmented Test-Time Adaptation for Vision-Language Models
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks
@article{yao2026specat,
title = {SPECAT: SPatial-spEctral Cumulative-Attention Transformer for High-Resolution Hyperspectral Image Reconstruction},
author = {Zhiyang Yao and Shuyang Liu and Xiaoyun Yuan and Lu Fang},
year = {2026},
doi = {10.1109/CVPR52733.2024.02397},
url = {https://doi.org/10.1109/CVPR52733.2024.02397},
journal = {CVPR 2024 2024}
}Shows whether official code is linked for this paper.
[](https://codeofpaper.com/paper/20b384c1e1a12dbb0ab946039c3fd27b35e05043)