Yiming Sun, Qinghua Hu, Bing Cao, Pengfei Zhu
We lifted 4 functions out of this paper's own repositories and ran 4 of them in a sandbox. "Ran" means the function executed on a synthesized input and returned a value. It is not a reproduction of the paper's results.
| Repository | Role | Ran |
|---|---|---|
| sunym2020/moe-fusion | canonical | 4 of 4 |
| Function | Status | Where it lives |
|---|---|---|
| cal_line_length | Ran | sunym2020/moe-fusion/DOTA_devkit/ImgSplit.py code served (permissive licence) · get_code("334c71c1848e108a") |
| choose_best_pointorder_fit_another | Ran | sunym2020/moe-fusion/DOTA_devkit/ImgSplit.py code served (permissive licence) · get_code("787051d64e55a326") |
| nmsbynamedict | Ran | sunym2020/moe-fusion/DOTA_devkit/ResultMerge.py code served (permissive licence) · get_code("98c4d71247a0078c") |
| py_cpu_nms | Ran | sunym2020/moe-fusion/DOTA_devkit/ResultMerge.py code served (permissive licence) · get_code("5502a789c2da0e5e") |
Some links come from the archived Papers with Code dataset (CC BY-SA 4.0): attribution and licence.
on the global information that complements the fused image with overall texture detail and contrast. Extensive experiments show that our MoE-Fusion outperforms stateof-the-art methods in preserving multi-modal image texture and contrast through the local-to-global dynamic learning paradigm, and also achieves superior performance on detection tasks. Our code is available: https://github. com/SunYM2020/MoE-Fusion.
The same record, over MCP at https://syntology.ai/mcp:
get_harvested_code_for_paper("2302.01392")
get_code_for_paper("2302.01392")
have("2302.01392")
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