Papers › Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection
Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection
Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, Si Liu
Open-vocabulary object detection aims to provide object detectors trained on a fixed set of object categories with the generalizability to detect objects described by arbitrary text queries. Previous methods adopt knowledge distillation to extract knowledge from Pretrained Vision-and-Language Models (PVLMs) and transfer it to detectors. However, due to the non-adaptive proposal cropping and single-level feature mimicking processes, they suffer from information destruction during knowledge extraction and inefficient knowledge transfer. To remedy these limitations, we propose an Object-Aware Distillation Pyramid (OADP) framework, including an Object-Aware Knowledge Extraction (OAKE) module and a Distillation Pyramid (DP) mechanism. When extracting object knowledge from PVLMs, the former adaptively transforms object proposals and adopts object-aware mask attention to obtain precise and complete knowledge of objects. The latter introduces global and block distillation for more comprehensive knowledge transfer to compensate for the missing relation information in object distillation. Extensive experiments show that our method achieves significant improvement compared to current methods. Especially on the MS-COCO dataset, our OADP framework reaches $35.6$ mAPᴺ₅₀, surpassing the current state-of-the-art method by $3.3$ mAPᴺ₅₀. Code is released at https://github.com/LutingWang/OADP.
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Code
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Open Vocabulary Object Detection | LVIS v1.0 | OADP | AP novel-LVIS base training | 21.7 | #21 of 28 | Archive leaderboard | report |
| Open Vocabulary Object Detection | MSCOCO | OADP (G-OVD) | AP 0.5 | 35.6 | #18 of 32 | Archive leaderboard | report |
| Open Vocabulary Object Detection | MSCOCO | OADP | AP 0.5 | 30.0 | #25 of 32 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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