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We introduce T-Rex, an interactive object counting model designed to first detect and then count any objects.
Learning to count objects in images
Victor Lempitsky and Andrew Zisserman · 2010
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Cross-scene crowd counting via deep convolutional neural networks
Cong Zhang, Hongsheng Li, Xiaogang Wang, and Xiaokang Yang · 2015
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Counting in the wild
Carlos Arteta, Victor Lempitsky, and Andrew Zisserman · 2016
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A large contextual dataset for classification, detection and counting of cars with deep learning
T Nathan Mundhenk, Goran Konjevod, Wesam A Sakla, and Kofi Boakye · 2016
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 2016
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Drone-based object counting by spatially regularized regional proposal network
Meng-Ru Hsieh, Yen-Liang Lin, and Winston H Hsu · 2017
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Localization in the crowd with topological constraints
Shahira Abousamra, Minh Hoai, Dimitris Samaras, and Chao Chen · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig · 2021
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Object counting: You only need to look at one
Hui Lin, Xiaopeng Hong, and Yabin Wang · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Learning to count everything
Viresh Ranjan, Udbhav Sharma, Thu Nguyen, and Minh Hoai · 2021
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Grounded language-image pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, et al · 2022
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Simple open-vocabulary object detection
Matthias Minderer, Alexey Gritsenko, Austin Stone, Maxim Neumann, Dirk Weissenborn, Alexey Dosovitskiy, Aravindh Mahendran, Anurag Arnab, Mostafa Dehghani, Zhuoran Shen, et al · 2022
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Few-shot object counting and detection
Thanh Nguyen, Chau Pham, Khoi Nguyen, and Minh Hoai · 2022
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Hierarchical text-conditional image generation with clip latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen · 2022
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Interactive class-agnostic object counting
Yifeng Huang, Viresh Ranjan, and Minh Hoai · 2023
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung · 2023
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Clip-count: Towards text-guided zero-shot object counting
Ruixiang Jiang, Lingbo Liu, and Changwen Chen · 2023
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Segment anything
Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloe Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollar, and Ross Girshick · 2023
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Kosmos-2.5: A multimodal literate model
Tengchao Lv, Yupan Huang, Jingye Chen, Lei Cui, Shuming Ma, Yaoyao Chang, Shaohan Huang, Wenhui Wang, Li Dong, Weiyao Luo, et al · 2023
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High-resolution image synthesis with latent diffusion models
Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, and Björn Ommer · 2022
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Represent, compare, and learn: A similarity-aware framework for class-agnostic counting
Min Shi, Hao Lu, Chen Feng, Chengxin Liu, and Zhiguo Cao · 2022
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Git: A generative image-to-text transformer for vision and language
Jianfeng Wang, Zhengyuan Yang, Xiaowei Hu, Linjie Li, Kevin Lin, Zhe Gan, Zicheng Liu, Ce Liu, and Lijuan Wang · 2022
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Coca: Contrastive captioners are image-text foundation models
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Dino: Detr with improved denoising anchor boxes for end-to-end object detection
Hao Zhang, Feng Li, Shilong Liu, Lei Zhang, Hang Su, Jun Zhu, Lionel M Ni, and Heung-Yeung Shum · 2022
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Detecting twenty-thousand classes using image-level supervision
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Pali-3 vision language models: Smaller, faster, stronger
Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, et al · 2023
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Gpt-4v(ision) system card
OpenAI · 2023
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Kosmos-2: Grounding multimodal large language models to the world
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A low-shot object counting network with iterative prototype adaptation
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Multi-modal queried object detection in the wild
Yifan Xu, Mengdan Zhang, Chaoyou Fu, Peixian Chen, Xiaoshan Yang, Ke Li, and Changsheng Xu · 2023
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Few-shot object counting with similarity-aware feature enhancement
Zhiyuan You, Kai Yang, Wenhan Luo, Xin Lu, Lei Cui, and Xinyi Le · 2023
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Detrs with collaborative hybrid assignments training
Zhuofan Zong, Guanglu Song, and Yu Liu · 2023
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Segment everything everywhere all at once
Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, and Yong Jae Lee · 2023
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