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Supplementary Material for Enhancing Motion Deblurring in High-Speed Scenes with Spike Streams Shiyan Chen
All RSTB blocks consist of 6 STB blocks. Each sequence contains 33 frames. Blurry images with different motion magnitudes are generated by averaging the surrounding 33 or 65 images. S1, we observe that the introduction of CAMMA also improves the performance of de-blurring across all settings. We have added comparisons regarding computational complexity and inference time in Tab.
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network
Real-world Image Dehazing (RID) aims to alleviate haze-induced degradation in real-world settings. This task remains challenging due to the complexities in accurately modeling real haze distributions and the scarcity of paired real-world data.
On the Identifiability and Interpretability of Gaussian Process Models
Rather than specifying a model, the GP framework revolves around selecting an appropriate kernel, transforming the problem into one of parameter estimation.
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection
Alpaca, created by applying SelectIT to the Alpaca-GPT4 dataset.
A Supplementary Material
In the supplementary material, we provide additional information and details in A.1. This section covers the introduction of data, key parameter settings, comparisons with baselines, optimization methods, and the algorithm process of our method. The statistical information of the aforementioned four real-world datasets is presented in Table 4. These datasets primarily consist of daily spatio-temporal statistics in the United States. We perform 2 dynamic routing iterations.
