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Object detection is integral to a bevy of real-world applications, from robotics to medical image analysis.
Family resemblances: Studies in the internal structure of categories
Eleanor Rosch and Carolyn B Mervis · 1975
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The pascal visual object classes (voc) challenge
Mark Everingham, Luc Van Gool, Christopher KI Williams, John Winn, 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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Detecting surgical tools by modelling local appearance and global shape
David Bouget, Rodrigo Benenson, Mohamed Omran, Laurent Riffaud, Bernt Schiele, and Pierre Jannin · 2015
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Large-scale long-tailed recognition in an open world
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, and Stella X. Yu · 2019
Earlier work this paper cites.
Object detection in optical remote sensing images: a survey and a new benchmark
Ke Li, Gang Wan, Gong Cheng, Liqiu Meng, and Junwei Han · 2020
Earlier work this paper cites.
Novel objects detection for robotics grasp planning
Shengchang Zhang, Zheng Nie, and Jindong Tan · 2020
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On the opportunities and risks of foundation models
Rishi Bommasani, Drew A Hudson, Ehsan Adeli, Russ Altman, Simran Arora, Sydney von Arx, Michael S Bernstein, Jeannette Bohg, Antoine Bosselut, Emma Brunskill, et al · 2021
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Technologies supporting artificial intelligence and robotics application development
Yinong Chen and Gennaro De Luca · 2021
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Open-vocabulary object detection via vision and language knowledge distillation
Xiuye Gu, Tsung-Yi Lin, Weicheng Kuo, and Yin Cui · 2021
Earlier work this paper cites.
Towards open world object detection
K J Joseph, Salman Khan, Fahad Shahbaz Khan, and Vineeth N Balasubramanian · 2021
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Deep learning-based object detection, localisation and tracking for smart wheelchair healthcare mobility
Louis Lecrosnier, Redouane Khemmar, Nicolas Ragot, Benoit Decoux, Romain Rossi, Naceur Kefi, and Jean-Yves Ertaud · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Open-vocabulary object detection using captions
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, and Shih-Fu Chang · 2021
Cited alongside, same era.
Roboflow 100: A rich, multi-domain object detection benchmark
Floriana Ciaglia, Francesco Saverio Zuppichini, Paul Guerrie, Mark McQuade, and Jacob Solawetz · 2022
Cited alongside, same era.
Cervical cancer diagnostics healthcare system using hybrid object detection adversarial networks
R. Elakkiya, V. Subramaniyaswamy, V. Vijayakumar, and Aniket Mahanti · 2022
Delving into out-of-distribution detection with vision-language representations
Yifei Ming, Ziyang Cai, Jiuxiang Gu, Yiyou Sun, Wei Li, and Yixuan Li · 2022
Later among the works it cites.
Open-world object detection via discriminative class prototype learning
Jinan Yu, Liyan Ma, Zhenglin Li, Yan Peng, and Shaorong Xie · 2022
Later among the works it cites.
Regionclip: Region-based language-image pretraining
Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, et al · 2022
Later among the works it cites.
Thang Doan, Xin Li, Sima Behpour, Wenbin He, Liang Gou, and Liu Ren · 2023
Closest in time.
Unsupervised recognition of unknown objects for open-world object detection
Ruohuan Fang, Guansong Pang, Lei Zhou, Xiao Bai, and Jin Zheng · 2023
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Cited alongside, same era.
Ow-detr: Open-world detection transformer
Akshita Gupta, Sanath Narayan, K J Joseph, Salman Khan, Fahad Shahbaz Khan, and Mubarak Shah · 2022
Cited alongside, same era.
Mind the gap: Understanding the modality gap in multi-modal contrastive representation learning
Weixin Liang, Yuhui Zhang, Yongchan Kwon, Serena Yeung, and James Zou · 2022
Cited alongside, same era.
Open long-tailed recognition in a dynamic world
Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, and Stella X. Yu · 2022
Cited alongside, same era.
Rethinking open-world object detection in autonomous driving scenarios
Zeyu Ma, Yang Yang, Guoqing Wang, Xing Xu, Heng Tao Shen, and Mingxing Zhang · 2022
Cited alongside, same era.
Class-agnostic object detection with multi-modal transformer
Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, and Ming-Hsuan Yang · 2022
Cited alongside, same era.
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, Xiao Wang, Xiaohua Zhai, Thomas Kipf, and Neil Houlsby · 2022
Cited alongside, same era.
Two-branch objectness-centric open world detection
Yan Wu, Xiaowei Zhao, Yuqing Ma, Duorui Wang, and Xianglong Liu
Cited in the paper.
Closest in time.
Open-vocabulary object detection upon frozen vision and language models
Weicheng Kuo, Yin Cui, Xiuye Gu, AJ Piergiovanni, and Anelia Angelova · 2023
Closest in time.
Cat: Localization and identification cascade detection transformer for open-world object detection
Shuailei Ma, Yuefeng Wang, Jiaqi Fan, Ying Wei, Thomas H Li, Hongli Liu, and Fanbing Lv · 2023
Closest in time.
Visual classification via description from large language models
Sachit Menon and Carl Vondrick · 2023
Closest in time.
Scaling open-vocabulary object detection
Matthias Minderer, Alexey Gritsenko, and Neil Houlsby · 2023
Closest in time.
Random boxes are open-world object detectors
Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, and Hanwang Zhang · 2023
Closest in time.