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SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction

Research article (Proceedings of the AAAI Conference on Artificial Intelligence, 2024) · cited 22× · AI/ML
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SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction

Summary

SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction is a scholarly article[1].

Key Facts

  • SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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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). SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction. Retrieved May 24, 2026, from https://4ort.xyz/entity/sam-parser-fine-tuning-sam-efficiently-by-parameter-space-reconstruction
MLA “SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sam-parser-fine-tuning-sam-efficiently-by-parameter-space-reconstruction.
BibTeX @misc{4ortxyz_sam-parser-fine-tuning-sam-efficiently-by-parameter-space-reconstruction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction}}, year = {2026}, url = {https://4ort.xyz/entity/sam-parser-fine-tuning-sam-efficiently-by-parameter-space-reconstruction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction — https://4ort.xyz/entity/sam-parser-fine-tuning-sam-efficiently-by-parameter-space-reconstruction (retrieved 2026-05-24)

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