| | --- |
| | license: apache-2.0 |
| | --- |
| | |
| | # Circular-based Relation Probing Evaluation (CRPE) |
| |
|
| | CRPE is a benchmark designed to quantitatively evaluate the object recognition and relation comprehension ability of models. |
| | The evaluation is formulated as single-choice questions. |
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| | The benchmark consists of four splits: |
| | **Existence**, **Subject**, **Predicate**, and **Object**. |
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| | The **Existence** split evaluates the object recognition ability while the remaining splits are designed to evaluate the capability of relation comprehension, focusing on probing each of the elements in the relation triplets `(subject, predicate, object)` separately. |
| | Some data examples are shown below. |
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| | <img width="800" alt="image" src="https://cdn-uploads.huggingface.co/production/uploads/619507e7b74b6c591f794340/_NKaowl2OUBAjck1XCAPm.jpeg"> |
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| | Additionally, to evaluate the dependency on language priors, we also include abnormal data in our evaluation. |
| | These images in these abnormal data depict relation triplets that are very rare in the real world. |
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|
| | <img width="800" alt="image" src="https://cdn-uploads.huggingface.co/production/uploads/619507e7b74b6c591f794340/qKWw7Qb93OXClxI_VrCRk.jpeg"> |
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|
| | For a robust evaluation, we adopt CircularEval as our evaluation strategy. |
| | Under this setting, a question is considered as correctly answered only when the model consistently predicts the correct answer in each of the N iterations, with N corresponding to the number of choices. |
| | In each iteration, a circular shift is applied to both the choices and the answer to form a new query for the model. |
| |
|
| | CRPE contains the following files: |
| | - `crpe_exist.jsonl`: the evaluation data of **Existence** split. |
| | - `crpe_exist_meta.jsonl`: the evaluation data of **Existence** split without CircularEval. |
| | - `crpe_relation.jsonl`: the evaluation data of **Subject**, **Predicate**, and **Object** split. |
| | - `crpe_relation_meta.jsonl`: the evaluation data of **Subject**, **Predicate**, and **Object** split without CircularEval. |
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|
| | **NOTE**: You should use `crpe_exist.jsonl` and `crpe_relation.jsonl` for evaluation. The evaluation script is presented [here](https://github.com/OpenGVLab/all-seeing/blob/main/all-seeing-v2/llava/eval/eval_crpe.py). |
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|
| | See our [project](https://github.com/OpenGVLab/all-seeing/all-seeing-v2) to learn more details! |
| |
|
| | # Citation |
| |
|
| | If you find our work useful in your research, please consider cite: |
| |
|
| | ```BibTeX |
| | @article{wang2023allseeing, |
| | title={The All-Seeing Project: Towards Panoptic Visual Recognition and Understanding of the Open World}, |
| | author={Wang, Weiyun and Shi, Min and Li, Qingyun and Wang, Wenhai and Huang, Zhenhang and Xing, Linjie and Chen, Zhe and Li, Hao and Zhu, Xizhou and Cao, Zhiguo and others}, |
| | journal={arXiv preprint arXiv:2308.01907}, |
| | year={2023} |
| | } |
| | @article{wang2024allseeing_v2, |
| | title={The All-Seeing Project V2: Towards General Relation Comprehension of the Open World}, |
| | author={Wang, Weiyun and Ren, Yiming and Luo, Haowen and Li, Tiantong and Yan, Chenxiang and Chen, Zhe and Wang, Wenhai and Li, Qingyun and Lu, Lewei and Zhu, Xizhou and others}, |
| | journal={arXiv preprint arXiv:2402.19474}, |
| | year={2024} |
| | } |
| | ``` |
