Home › Entities › academia › MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping

MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping

Research article (Image and Vision Computing, 2025) · cited 16× · AI/ML
academia openalex:W4412652537
Press Enter · cited answer in seconds

MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping

Summary

MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping is a scholarly article[1].

Key Facts

  • MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping. Retrieved May 24, 2026, from https://4ort.xyz/entity/msdnet-multi-scale-decoder-for-few-shot-semantic-segmentation-via-transformer-guided-prototyping
MLA “MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/msdnet-multi-scale-decoder-for-few-shot-semantic-segmentation-via-transformer-guided-prototyping.
BibTeX @misc{4ortxyz_msdnet-multi-scale-decoder-for-few-shot-semantic-segmentation-via-transformer-guided-prototyping_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping}}, year = {2026}, url = {https://4ort.xyz/entity/msdnet-multi-scale-decoder-for-few-shot-semantic-segmentation-via-transformer-guided-prototyping}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MSDNet: Multi-scale decoder for few-shot semantic segmentation via transformer-guided prototyping — https://4ort.xyz/entity/msdnet-multi-scale-decoder-for-few-shot-semantic-segmentation-via-transformer-guided-prototyping (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/msdnet-multi-scale-decoder-for-few-shot-semantic-segmentation-via-transformer-guided-prototyping · Last refreshed: