On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited
Xue Yang, Junchi Yan
Paper appears method- or tooling-adjacent to AI workflows with partial ecosystem coverage.
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On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited presents a algorithm approach for heading (navigation).
Implementation Evidence Summary
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Reproduction Risks
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Hardware Notes
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Evidence disclosure
Evidence graph: 2 refs, 1 links.
Utility signals: depth 65/100, grounding 58/100, status medium.
Implementation Status
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- No direct maintained implementation was found. Use the paper PDF and citation graph to design a baseline reproduction.
- Start from related paper: Heading Out and Heading Home in The Merchant of Venice.
- Track assumptions and missing details in an experiment log before coding.
Reproduction readiness
Hardware requirements
- Expect multi-day setup/compute for meaningful reproduction based on current guidance.
No verified implementation available
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Framework baselines
- TorchVision object detection finetuning tutorial
Baseline setup for object detection workflows.
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Research context
181
Citations
103
References
Tasks
Heading (navigation), Orientation (vector space), Block (permutation group theory), Object detection, Computer science, Regression, Boundary (topology), Detector
Methods
Algorithm
Domains
Rotation (mathematics), Artificial intelligence, Computer vision, Mathematics, Computer Vision and Pattern Recognition
Evaluation & Human Feedback Data
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