# iDAM: Iteratively Trained Deep In-loop Filter with Adaptive Model Selection

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/idam-iteratively-trained-deep-in-loop-filter-with-adaptive-model-selection/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Yue Li,Li Zhang,Kai Zhang |
| Citations | 18 |
| DOI | 10.1145/3529107 |
| Fields | Computer Science |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W4220715488 |
| Type | article |
| Year | 2022 |

## Paper authors

- [Yue Li](https://scholariq.org/researchers/yue-li-2/)

## Paper primary topic

- [Video Coding and Compression Technologies](https://scholariq.org/topics/video-coding-and-compression-technologies/)

## Paper topics

- [Video Coding and Compression Technologies](https://scholariq.org/topics/video-coding-and-compression-technologies/)
- [Advanced Image Processing Techniques](https://scholariq.org/topics/advanced-image-processing-techniques/)
- [Advanced Data Compression Techniques](https://scholariq.org/topics/advanced-data-compression-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.