- A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation

Comparison of results on PASCAL-5 i between our method and other popular methods.

Reference

A Self-Supervised Few-Shot Semantic Segmentation Method Based on Multi-Task Learning and Dense Attention Computation - Scientific Figure on ResearchGate. Available from: https://www.researchgate.net/figure/Comparison-of-results-on-PASCAL-5-i-between-our-method-and-other-popular-methods_tbl1_382761530 [accessed 22 Apr 2025]

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Comparison of results on PASCAL-5 i between our method and other popular methods.

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<a href="https://www.researchgate.net/figure/Comparison-of-results-on-PASCAL-5-i-between-our-method-and-other-popular-methods_tbl1_382761530"><img src="https://www.researchgate.net/publication/382761530/figure/tbl1/AS:11431281264398540@1722540691032/Comparison-of-results-on-PASCAL-5-i-between-our-method-and-other-popular-methods.png" alt="Comparison of results on PASCAL-5 i between our method and other popular methods."/></a>