OBB-PBD: Extending Parallel Box Decoding to Oriented Bounding Boxes for Referring Expression Grounding in Aerial Imagery
The paper extends Parallel Box Decoding, which predicts all box geometry slots in one forward pass, from four-coordinate horizontal boxes to a six-slot oriented box representation using a double-angle parameterization. The authors validate the extension with image/prompt-shuffle controls and visibility/leakage probes. On the aerial vehicle visual grounding benchmark, rotated IoU rises from 0.1253 for the zero-shot baseline to 0.303 ± 0.012 over three seeds across the full 6139-record test split. Learning oriented boxes adds 0.055 ± 0.008 rotIoU over a matched axis-aligned control, while block expansion alone shows no distinguishable gain.
Open original source huggingface.coOne primary source; other links are context, not independent corroboration.
- Primary sourceHugging Face Daily Papers
- Discovery linkHugging Face
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The paper extends Parallel Box Decoding, which predicts all box geometry slots in one forward pass, from four-coordinate horizontal boxes to a six-slot oriented box representation using a double-angle parameterization. The authors validate the extension with image/prompt-shuffle controls and visibility/leakage probes. On the aerial vehicle visual grounding benchmark, rotated IoU rises from 0.1253 for the zero-shot baseline to 0.303 ± 0.012 over three seeds across the full 6139-record test split. Learning oriented boxes adds 0.055 ± 0.008 rotIoU over a matched axis-aligned control, while block expansion alone shows no distinguishable gain.
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Results are reported on a single benchmark (AVVG) across three training seeds; source claims not independently checked.
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Key findings from the stored brief
- Extends PBD from four-coordinate horizontal boxes to six-slot oriented boxes using double-angle parameterization.
- Raises rotIoU on the AVVG benchmark from 0.1253 zero-shot to 0.303 ± 0.012 over three seeds.
- Learning oriented boxes adds 0.055 ± 0.008 rotIoU beyond a matched axis-aligned control.
- Block expansion alone yields no rotIoU gain distinguishable from zero.
Results are reported on a single benchmark (AVVG) across three training seeds; source claims not independently checked.
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Evidence & sources
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Why this may matter
Aerial objects appear at arbitrary orientations, so horizontal boxes can misfit targets. Single-pass decoding of oriented boxes could offer faster grounding for overhead imagery, and the reported controls aim to show gains come from image and prompt rather than prompt statistics alone.
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Results are reported on a single benchmark (AVVG) across three training seeds; source claims not independently checked.
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