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We present the All-Seeing Project V2: a new model and dataset designed for understanding object relations in images.
Kazemzadeh, S., Ordonez, V., Matten, M., Berg, T.: Referitgame: Referring to objects in photographs of natural scenes. In: EMNLP (2014)
2014
Earlier work this paper cites.
Lin, T.Y., Maire, M., Belongie, S., Hays, J., Perona, P., Ramanan, D., Dollár, P., Zitnick, C.L.: Microsoft coco: Common objects in context. In: ECCV (2014)
2014
Earlier work this paper cites.
2015
Earlier work this paper cites.
Plummer, B.A., Wang, L., Cervantes, C.M., Caicedo, J.C., Hockenmaier, J., Lazebnik, S.: Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models. In: ICCV (2015)
2015
Earlier work this paper cites.
Andreas, J., Rohrbach, M., Darrell, T., Klein, D.: Neural module networks. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 39–48 (2016)
2016
Earlier work this paper cites.
Lu, C., Krishna, R., Bernstein, M., Fei-Fei, L.: Visual relationship detection with language priors. In: ECCV (2016)
2016
Earlier work this paper cites.
Mao, J., Huang, J., Toshev, A., Camburu, O., Yuille, A.L., Murphy, K.: Generation and comprehension of unambiguous object descriptions. In: CVPR (2016)
2016
Earlier work this paper cites.
Zhu, Y., Groth, O., Bernstein, M., Fei-Fei, L.: Visual7w: Grounded question answering in images. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 4995–5004 (2016)
2016
Earlier work this paper cites.
2017
Earlier work this paper cites.
Dai, B., Zhang, Y., Lin, D.: Detecting visual relationships with deep relational networks. In: CVPR (2017)
2017
Earlier work this paper cites.
Goyal, Y., Khot, T., Summers-Stay, D., Batra, D., Parikh, D.: Making the v in vqa matter: Elevating the role of image understanding in visual question answering. In: CVPR (2017)
2017
Earlier work this paper cites.
Johnson, J., Hariharan, B., Van Der Maaten, L., Fei-Fei, L., Lawrence Zitnick, C., Girshick, R.: Clevr: A diagnostic dataset for compositional language and elementary visual reasoning. In: CVPR (2017)
2017
Earlier work this paper cites.
Krishna, R., Zhu, Y., Groth, O., Johnson, J., Hata, K., Kravitz, J., Chen, S., Kalantidis, Y., Li, L.J., Shamma, D.A., et al.: Visual genome: Connecting language and vision using crowdsourced dense image annotations. International journal of computer vision (2017)
2017
Earlier work this paper cites.
Li, Y., Ouyang, W., Wang, X., Tang, X.: Vip-cnn: Visual phrase guided convolutional neural network. In: CVPR (2017)
2017
Earlier work this paper cites.
Li, Y., Ouyang, W., Zhou, B., Wang, K., Wang, X.: Scene graph generation from objects, phrases and region captions. In: ICCV (2017)
2017
Earlier work this paper cites.
Suhr, A., Lewis, M., Yeh, J., Artzi, Y.: A corpus of natural language for visual reasoning. In: Ann. Meeting of the Assoc. for Comput. Linguistics (2017)
2017
Earlier work this paper cites.
Xu, D., Zhu, Y., Choy, C.B., Fei-Fei, L.: Scene graph generation by iterative message passing. In: CVPR (2017)
2017
Earlier work this paper cites.
Yu, L., Tan, H., Bansal, M., Berg, T.L.: A joint speaker-listener-reinforcer model for referring expressions. In: CVPR (2017)
2017
Earlier work this paper cites.
Zhang, H., Kyaw, Z., Chang, S.F., Chua, T.S.: Visual translation embedding network for visual relation detection. In: CVPR (2017)
2017
Earlier work this paper cites.
Caesar, H., Uijlings, J., Ferrari, V.: Coco-stuff: Thing and stuff classes in context. In: CVPR (2018)
2018
Earlier work this paper cites.
Gurari, D., Li, Q., Stangl, A.J., Guo, A., Lin, C., Grauman, K., Luo, J., Bigham, J.P.: Vizwiz grand challenge: Answering visual questions from blind people. In: CVPR (2018)
2018
Earlier work this paper cites.
Hwang, S.J., Ravi, S.N., Tao, Z., Kim, H.J., Collins, M.D., Singh, V.: Tensorize, factorize and regularize: Robust visual relationship learning. In: CVPR (2018)
2018
Earlier work this paper cites.
Sharma, P., Ding, N., Goodman, S., Soricut, R.: Conceptual captions: A cleaned, hypernymed, image alt-text dataset for automatic image captioning. In: ACL (2018)
2018
Earlier work this paper cites.
Zellers, R., Yatskar, M., Thomson, S., Choi, Y.: Neural motifs: Scene graph parsing with global context. In: CVPR (2018)
2018
Earlier work this paper cites.
Zellers, R., Yatskar, M., Thomson, S., Choi, Y.: Neural motifs: Scene graph parsing with global context. In: CVPR (2018)
2018
Earlier work this paper cites.
Biten, A.F., Tito, R., Mafla, A., Gomez, L., Rusinol, M., Valveny, E., Jawahar, C., Karatzas, D.: Scene text visual question answering. In: Proceedings of the IEEE/CVF international conference on computer vision. pp. 4291–4301 (2019)
2019
Earlier work this paper cites.
Gu, J., Zhao, H., Lin, Z., Li, S., Cai, J., Ling, M.: Scene graph generation with external knowledge and image reconstruction. In: CVPR (2019)
2019
Earlier work this paper cites.
Hu, Y., Chen, S., Chen, X., Zhang, Y., Gu, X.: Neural message passing for visual relationship detection. In: ICMLW (2019)
2019
Earlier work this paper cites.
Hudson, D.A., Manning, C.D.: Gqa: A new dataset for real-world visual reasoning and compositional question answering. In: CVPR (2019)
2019
Earlier work this paper cites.
Liao, W., Rosenhahn, B., Shuai, L., Ying Yang, M.: Natural language guided visual relationship detection. In: CVPRW (2019)
2019
Earlier work this paper cites.
Loshchilov, I., Hutter, F.: Decoupled weight decay regularization. In: ICLR (2019)
2019
Earlier work this paper cites.
Lu, J., Batra, D., Parikh, D., Lee, S.: Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks. NeurIPS (2019)
2019
Earlier work this paper cites.
Marino, K., Rastegari, M., Farhadi, A., Mottaghi, R.: Ok-vqa: A visual question answering benchmark requiring external knowledge. In: CVPR (2019)
2019
Earlier work this paper cites.
Mishra, A., Shekhar, S., Singh, A.K., Chakraborty, A.: Ocr-vqa: Visual question answering by reading text in images. In: ICDAR. pp. 947–952. IEEE (2019)
2019
Earlier work this paper cites.
Qi, M., Li, W., Yang, Z., Wang, Y., Luo, J.: Attentive relational networks for mapping images to scene graphs. In: CVPR (2019)
2019
Earlier work this paper cites.
Singh, A., Natarajan, V., Shah, M., Jiang, Y., Chen, X., Batra, D., Parikh, D., Rohrbach, M.: Towards vqa models that can read. In: CVPR (2019)
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
Tang, K., Zhang, H., Wu, B., Luo, W., Liu, W.: Learning to compose dynamic tree structures for visual contexts. In: CVPR. pp. 6619–6628 (2019)
2019
Cited alongside, same era.
Zellers, R., Bisk, Y., Farhadi, A., Choi, Y.: From recognition to cognition: Visual commonsense reasoning. In: CVPR (2019)
2019
Cited alongside, same era.
Zhang, J., Kalantidis, Y., Rohrbach, M., Paluri, M., Elgammal, A., Elhoseiny, M.: Large-scale visual relationship understanding. In: AAAI (2019)
2019
Cited alongside, same era.
Zheng, S., Chen, S., Jin, Q.: Visual relation detection with multi-level attention. In: ACM MM (2019)
2019
Cited alongside, same era.
Brown, T., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.: Language models are few-shot learners. NeurIPS (2020)
2020
IDEFICS: Introducing idefics: An open reproduction of state-of-the-art visual language model. https://huggingface.co/blog/idefics (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
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Cited alongside, same era.
Dupty, M.H., Zhang, Z., Lee, W.S.: Visual relationship detection with low rank non-negative tensor decomposition. In: AAAI (2020)
2020
Cited alongside, same era.
Gan, Z., Chen, Y.C., Li, L., Zhu, C., Cheng, Y., Liu, J.: Large-scale adversarial training for vision-and-language representation learning. NeurIPS (2020)
2020
Cited alongside, same era.
Hung, Z.S., Mallya, A., Lazebnik, S.: Contextual translation embedding for visual relationship detection and scene graph generation. IEEE transactions on pattern analysis and machine intelligence pp. 3820–3832 (2020)
2020
Cited alongside, same era.
Li, G., Duan, N., Fang, Y., Gong, M., Jiang, D.: Unicoder-vl: A universal encoder for vision and language by cross-modal pre-training. In: AAAI (2020)
2020
Cited alongside, same era.
Lin, X., Ding, C., Zeng, J., Tao, D.: Gps-net: Graph property sensing network for scene graph generation. In: CVPR. pp. 3746–3753 (2020)
2020
Cited alongside, same era.
Sidorov, O., Hu, R., Rohrbach, M., Singh, A.: Textcaps: a dataset for image captioning with reading comprehension. In: ECCV. pp. 742–758. Springer (2020)
2020
Cited alongside, same era.
2021
Cited alongside, same era.
2023
Later among the works it cites.
Li, Y., Du, Y., Zhou, K., Wang, J., Zhao, W.X., Wen, J.R.: Evaluating object hallucination in large vision-language models. EMNLP (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
Liu, F., Emerson, G., Collier, N.: Visual spatial reasoning. Transactions of the Association for Computational Linguistics (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
OpenAI: Gpt-4 technical report. arXiv preprint arXiv:2303.08774 (2023)
2023
Later among the works it cites.
OpenAI: Gpt-4v(ision) system card (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
ShareGPT: https://sharegpt.com/ (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
Zhao, C., Shen, Y., Chen, Z., Ding, M., Gan, C.: Textpsg: Panoptic scene graph generation from textual descriptions. In: ICCV (2023)
2023
Later among the works it cites.
Zheng, L., Chiang, W.L., Sheng, Y., Zhuang, S., Wu, Z., Zhuang, Y., Lin, Z., Li, Z., Li, D., Xing, E.P., Zhang, H., Gonzalez, J.E., Stoica, I.: Judging llm-as-a-judge with mt-bench and chatbot arena (2023)
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2024
Closest in time.
Liu, C., Jiang, X., Ding, H.: Primitivenet: decomposing the global constraints for referring segmentation. Visual Intelligence 2
2024
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