Methods › Computer Vision › Semantic Segmentation Models › ADELE

Adaptive Early-Learning Correction

ADELE

2 papers tagged archive 2025-07-28

Introduced by Sheng Liu et al. in Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Adaptive Early-Learning Correction for Segmentation from Noisy Annotations

Papers archive 2025-07-28

2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

A Survey on Archetypal Analysis
16 Apr 2025 · 0 repositories · arXiv:2504.12392
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
7 Oct 2021 · 2 repositories · arXiv:2110.03740

Syntology ran 2 of 4 samples · 2 unverified · 1 pointer-only (licence)

Tasks archive 2025-07-28

10 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

Task	Papers
Classification	1
Dimensionality Reduction	1
Medical Image Segmentation	1
Memorization	1
Segmentation	1
Semantic Segmentation	1
Survey	1
Weakly supervised Semantic Segmentation	1
Weakly supervised segmentation	1
Weakly-Supervised Semantic Segmentation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (2 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Semantic Segmentation Models

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