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Existing open-vocabulary object detectors typically enlarge their vocabulary sizes by leveraging different forms of weak supervision.
Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Selective search for object recognition
Jasper RR Uijlings, Koen EA Van De Sande, Theo Gevers, and Arnold WM Smeulders · 2013
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Edge Boxes: Locating Object Proposals from Edges
C Lawrence Zitnick and Piotr Dollár · 2014
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning · 2014
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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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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Imagenet large scale visual recognition challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, et al · 2015
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Weakly supervised deep detection networks
Hakan Bilen and Andrea Vedaldi · 2016
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Weakly-and semi-supervised object detection with expectation-maximization algorithm
Ziang Yan, Jian Liang, Weishen Pan, Jin Li, and Changshui Zhang · 2017
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Yolo9000: better, faster, stronger
Joseph Redmon and Ali Farhadi · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Zero-shot object detection
Ankan Bansal, Karan Sikka, Gaurav Sharma, Rama Chellappa, and Ajay Divakaran · 2018
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Pcl: Proposal cluster learning for weakly supervised object detection
Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, and Alan Yuille · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Learning to segment every thing
Ronghang Hu, Piotr Dollár, Kaiming He, Trevor Darrell, and Ross Girshick · 2018
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Zero shot detection
Pengkai Zhu, Hanxiao Wang, and Venkatesh Saligrama · 2019
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Transductive learning for zero-shot object detection
Shafin Rahman, Salman Khan, and Nick Barnes · 2019
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Zero-shot object detection with textual descriptions
Zhihui Li, Lina Yao, Xiaoqin Zhang, Xianzhi Wang, Salil Kanhere, and Huaxiang Zhang · 2019
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Cyclic guidance for weakly supervised joint detection and segmentation
Yunhang Shen, Rongrong Ji, Yan Wang, Yongjian Wu, and Liujuan Cao · 2019
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C-mil: Continuation multiple instance learning for weakly supervised object detection
Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, and Qixiang Ye · 2019
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Towards precise end-to-end weakly supervised object detection network
Ke Yang, Dongsheng Li, and Yong Dou · 2019
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Cap2det: Learning to amplify weak caption supervision for object detection
Keren Ye, Mingda Zhang, Adriana Kovashka, Wei Li, Danfeng Qin, and Jesse Berent · 2019
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Weakly supervised object detection with segmentation collaboration
Open-vocabulary object detection using captions
Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, and Shih-Fu Chang · 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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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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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 · 2021
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Multi-modal transformers excel at class-agnostic object detection
Muhammad Maaz, Hanoona Rasheed, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, and Ming-Hsuan Yang · 2021
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Xiaoyan Li, Meina Kan, Shiguang Shan, and Xilin Chen · 2019
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Similarity-preserving knowledge distillation
Frederick Tung and Greg Mori · 2019
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LVIS: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 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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Improved visual-semantic alignment for zero-shot object detection
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Don’t even look once: Synthesizing features for zero-shot detection
Pengkai Zhu, Hanxiao Wang, and Venkatesh Saligrama · 2020
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A multi-space approach to zero-shot object detection
Dikshant Gupta, Aditya Anantharaman, Nehal Mamgain, Vineeth N Balasubramanian, CV Jawahar, et al · 2020
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Boosting weakly supervised object detection via learning bounding box adjusters
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Wssod: A new pipeline for weakly-and semi-supervised object detection
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Towards open vocabulary object detection without human-provided bounding boxes
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Probabilistic two-stage detection
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Simple copy-paste is a strong data augmentation method for instance segmentation
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D Cubuk, Quoc V Le, and Barret Zoph · 2021
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Towards open world object detection
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Mdetr-modulated detection for end-to-end multi-modal understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, and Nicolas Carion · 2021
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Detecting twenty-thousand classes using image-level supervision
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Open-vocabulary object detection via vision and language knowledge distillation
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Learning to prompt for open-vocabulary object detection with vision-language model
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Promptdet: Expand your detector vocabulary with uncurated images
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