Papers › Open-vocabulary Attribute Detection
Open-vocabulary Attribute Detection
María A. Bravo, Sudhanshu Mittal, Simon Ging, Thomas Brox
Vision-language modeling has enabled open-vocabulary tasks where predictions can be queried using any text prompt in a zero-shot manner. Existing open-vocabulary tasks focus on object classes, whereas research on object attributes is limited due to the lack of a reliable attribute-focused evaluation benchmark. This paper introduces the Open-Vocabulary Attribute Detection (OVAD) task and the corresponding OVAD benchmark. The objective of the novel task and benchmark is to probe object-level attribute information learned by vision-language models. To this end, we created a clean and densely annotated test set covering 117 attribute classes on the 80 object classes of MS COCO. It includes positive and negative annotations, which enables open-vocabulary evaluation. Overall, the benchmark consists of 1.4 million annotations. For reference, we provide a first baseline method for open-vocabulary attribute detection. Moreover, we demonstrate the benchmark's value by studying the attribute detection performance of several foundation models. Project page https://ovad-benchmark.github.io
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Code
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Code Syntology ran Syntology
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Tasks
Datasets
Introduced by this paper, per the archive.
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Open Vocabulary Attribute Detection | OVAD benchmark | OVAD-Baseline (ResNet50) | mean average precision | 18.8 | #2 of 5 | Archive leaderboard | report |
| Open Vocabulary Attribute Detection | OVAD-Box benchmark | OVAD-Baseline-Box | mean average precision | 21.4 | #4 of 7 | Archive leaderboard | report |
| Open Vocabulary Object Detection | MSCOCO | OVAD-Baseline | AP 0.5 | 30.0 | #24 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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