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This paper introduces the COCONut-PanCap dataset, created to enhance panoptic segmentation and grounded image captioning.
Bleu: a method for automatic evaluation of machine translation
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Earlier work this paper cites.
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Chin-Yew Lin · 2004
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Vicente Ordonez, Girish Kulkarni, and Tamara Berg · 2011
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Microsoft coco: Common objects in context
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Earlier work this paper cites.
Scene parsing through ade20k dataset
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Coco-stuff: Thing and stuff classes in context
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Gqa: A new dataset for real-world visual reasoning and compositional question answering
Drew A Hudson and Christopher D Manning · 2019
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Panoptic segmentation
Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, and Piotr Dollár · 2019
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Anand Mishra, Shashank Shekhar, Ajeet Kumar Singh, and Anirban Chakraborty · 2019
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Objects365: A large-scale, high-quality dataset for object detection
Shuai Shao, Zeming Li, Tianyuan Zhang, Chao Peng, Gang Yu, Xiangyu Zhang, Jing Li, and Jian Sun · 2019
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Towards vqa models that can read
Amanpreet Singh, Vivek Natarjan, Meet Shah, Yu Jiang, Xinlei Chen, Devi Parikh, and Marcus Rohrbach · 2019
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Textcaps: a dataset for image captioning with reading comprehension
Oleksii Sidorov, Ronghang Hu, Marcus Rohrbach, and Amanpreet Singh · 2020
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Conceptual 12m: Pushing web-scale image-text pre-training to recognize long-tail visual concepts
Soravit Changpinyo, Piyush Sharma, Nan Ding, and Radu Soricut · 2021
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Lora: Low-rank adaptation of large language models
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Learning transferable visual models from natural language supervision
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Max-deeplab: End-to-end panoptic segmentation with mask transformers
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Shilong Zhang, Peize Sun, Shoufa Chen, Min Xiao, Wenqi Shao, Wenwei Zhang, Kai Chen, and Ping Luo · 2023
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How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites
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Coconut: Modernizing coco segmentation
Xueqing Deng, Qihang Yu, Peng Wang, Xiaohui Shen, and Liang-Chieh Chen · 2024
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Laion-5b: An open large-scale dataset for training next generation image-text models
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Panoptic scene graph generation
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k-means Mask Transformer
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Sharegpt4v: Improving large multi-modal models with better captions
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Scaling rectified flow transformers for high-resolution image synthesis
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Imageinwords: Unlocking hyper-detailed image descriptions
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DOCCI: Descriptions of Connected and Contrasting Images
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Pixellm: Pixel reasoning with large multimodal model
Zhongwei Ren, Zhicheng Huang, Yunchao Wei, Yao Zhao, Dongmei Fu, Jiashi Feng, and Xiaojie Jin · 2024
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From pixels to prose: A large dataset of dense image captions
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A picture is worth more than 77 text tokens: Evaluating clip-style models on dense captions
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Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution
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Mm-vet: Evaluating large multimodal models for integrated capabilities
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Osprey: Pixel understanding with visual instruction tuning
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Instruction-guided multi-granularity segmentation and captioning with large multimodal model
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