Methods › Computer Vision › Arbitrary Object Detectors › CSL

Circular Smooth Label

CSL

38 papers tagged archive 2025-07-28

Introduced by Xue Yang et al. in On the Arbitrary-Oriented Object Detection: Classification based Approaches Revisited

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

Circular Smooth Label (CSL) is a classification-based rotation detection technique for arbitrary-oriented object detection. It is used for circularly distributed angle classification and addresses the periodicity of the angle and increases the error tolerance to adjacent angles.

PaperSource

Papers archive 2025-07-28

30 shown of 38, 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.

Tasks archive 2025-07-28

20 shown of 61 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Sign Language Recognition11
Self-Supervised Learning7
Contrastive Learning4
Representation Learning4
Sentence4
Data Augmentation3
Diversity3
Causal Discovery2
Classification2
General Classification2
Image Classification2
Person Re-Identification2
Position2
Semantic Segmentation2
Sentence Embedding2
Sentence-Embedding2
Abstractive Text Summarization1
Action Localization1
Adversarial Robustness1
Anomaly Detection1

Usage over time archive 2025-07-28

Papers per year tagged with CSL: 2020 to 2025, peak 9 9 0 2020: 5 papers 2020 2021: 6 papers 2021 2022: 9 papers 2022 2023: 8 papers 2023 2024: 8 papers 2024 2025: 2 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (38 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

Arbitrary Object Detectors

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