Deep Interleaved Network for Single Image Super-Resolution with Asymmetric Co-Attention
Authors: Feng Li, Runmin Cong, Huihui Bai, Yifan He
IJCAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | img_092 from Urban100, 8023 from BSDS100, HR Bicubic SRCNN Lap SRN DRRN, Mem Net EDSR SRFBN RDN |
| Researcher Affiliation | Academia | No author affiliations, university names, company names, or email domains are provided in the given text snippets to determine the affiliation type. |
| Pseudocode | No | The provided text does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The provided text does not contain any explicit statements about releasing source code or links to a code repository. |
| Open Datasets | Yes | img_092 from Urban100, 8023 from BSDS100 |
| Dataset Splits | No | The provided text mentions datasets like Urban100 and BSDS100 but does not specify any dataset split information such as exact percentages, sample counts, or a detailed splitting methodology. |
| Hardware Specification | No | The provided text does not provide specific hardware details (e.g., exact GPU/CPU models, processor types, or memory amounts) used for running experiments. |
| Software Dependencies | No | The provided text does not provide specific ancillary software details, such as library or solver names with version numbers. |
| Experiment Setup | No | The provided text does not contain specific experimental setup details such as concrete hyperparameter values or training configurations. |