Files
tiny_object_detection/results
u52f85420 04bf90c09b feat: 导入 IRSTD 研究代码与文档(小目标检测)
- 新增 irstd 核心包、scripts、tests、configs
- 新增研究文档:literature_review / mathematical_analysis / novelty_matrix / experiment_plan / research_decision / research_log / manuscript_outline
- 新增 evidence、results 数据与审计产物
- 新增 pyproject.toml、requirements、.gitignore
2026-11-01 10:10:33 +00:00
..

Actual results only

  • unit_tests.txt: executed CPU tests and explicitly skipped PyTorch tests.
  • math_checks.json: analytic calibration sample-size calculations.
  • environment.json: observed runtime availability.

No trained detector scores, dataset performance, latency or VRAM numbers exist. Tests use synthetic fixtures. No table cell marked pending should be interpreted as zero performance.