Papers › The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

The All-Seeing Project V2: Towards General Relation Comprehension of the Open World

29 Feb 2024arXiv:2402.19474archive 2025-07-28

Weiyun Wang, Yiming Ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai

We present the All-Seeing Project V2: a new model and dataset designed for understanding object relations in images. Specifically, we propose the All-Seeing Model V2 (ASMv2) that integrates the formulation of text generation, object localization, and relation comprehension into a relation conversation (ReC) task. Leveraging this unified task, our model excels not only in perceiving and recognizing all objects within the image but also in grasping the intricate relation graph between them, diminishing the relation hallucination often encountered by Multi-modal Large Language Models (MLLMs). To facilitate training and evaluation of MLLMs in relation understanding, we created the first high-quality ReC dataset ({AS-V2) which is aligned with the format of standard instruction tuning data. In addition, we design a new benchmark, termed Circular-based Relation Probing Evaluation (CRPE) for comprehensively evaluating the relation comprehension capabilities of MLLMs. Notably, our ASMv2 achieves an overall accuracy of 52.04 on this relation-aware benchmark, surpassing the 43.14 of LLaVA-1.5 by a large margin. We hope that our work can inspire more future research and contribute to the evolution towards artificial general intelligence. Our project is released at https://github.com/OpenGVLab/all-seeing.

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AllSeeingModelConfig OpenGVLab/all-seeing/all-seeing/utils/model.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · bbe645c8f76bf19e · report
Blip2ForConditionalGenerationModelOutput OpenGVLab/all-seeing/all-seeing/utils/model.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · 586d698ae8b94c92 · report
concat_all_gather OpenGVLab/all-seeing/all-seeing/utils/model.py official repository ran · honoured contract fingerprinted no licence file found · pointer only · 090af570926107cc · report
get_chunk opengvlab/all-seeing/all-seeing-v2/llava/eval/model_vqa.py official repository ran · our draft was wrong fingerprinted no licence file found · pointer only · 42a46570620cd9fa · report
is_dist_avail_and_initialized OpenGVLab/all-seeing/all-seeing/utils/model.py official repository ran · metamorphic tier: deterministic no licence file found · pointer only · 5f205488cb7b9004 · report
load_image opengvlab/all-seeing/all-seeing-v2/predict.py official repository ran · honoured contract no licence file found · pointer only · 9b3c1cb391672ccb · report
split_list opengvlab/all-seeing/all-seeing-v2/llava/eval/model_vqa.py official repository ran · our draft was wrong fingerprinted no licence file found · pointer only · 076c252c52cbb161 · report
AllSeeingModel OpenGVLab/all-seeing/all-seeing/utils/model.py official repository unverified no licence file found · pointer only · 2a96dcf5d12b3da6 · report

Tasks

AllHallucinationObject LocalizationText GenerationVisual Question Answering

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Datasets

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AS-V2

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Visual Question Answering MM-Vet ASMv2 GPT-4 score 41.3 #103 of 231 Archive leaderboard report

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