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Open-vocabulary object detection (OVOD) aims to detect the objects beyond the set of classes observed during training.
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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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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Ssd: Single shot multibox detector
W. Liu, Dragomir Anguelov, D. Erhan, Christian Szegedy, Scott E. Reed, Cheng-Yang Fu, and Alexander C. Berg · 2015
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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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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Kumar Divvala, Ross B. Girshick, and Ali Farhadi · 2016
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross B. Girshick, Kaiming He, Bharath Hariharan, and Serge J. Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Lvis: A dataset for large vocabulary instance segmentation
Agrim Gupta, Piotr Dollar, and Ross Girshick · 2019
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Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
Shifeng Zhang, Cheng Chi, Yongqiang Yao, Zhen Lei, and Stan Z. Li · 2019
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Xingyi Zhou, Dequan Wang, and Philipp Krähenbühl · 2019
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Improving semantic segmentation via video propagation and label relaxation
Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, and Bryan Catanzaro · 2019
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End-to-end object detection with transformers
Nicolas Carion, Francisco Massa, Gabriel Synnaeve, Nicolas Usunier, Alexander Kirillov, and Sergey Zagoruyko · 2020
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Naive-student: Leveraging semi-supervised learning in video sequences for urban scene segmentation
Liang-Chieh Chen, Raphael Gontijo Lopes, Bowen Cheng, Maxwell D Collins, Ekin D Cubuk, Barret Zoph, Hartwig Adam, and Jonathon Shlens · 2020
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Overcoming classifier imbalance for long-tail object detection with balanced group softmax
Yu Li, Tao Wang, Bingyi Kang, Sheng Tang, Chunfeng Wang, Jintao Li, and Jiashi Feng · 2020
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Deep representation learning on long-tailed data: A learnable embedding augmentation perspective
Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, and Wenhui Li · 2020
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Balanced meta-softmax for long-tailed visual recognition
Jiawei Ren, Cunjun Yu, Xiao Ma, Haiyu Zhao, Shuai Yi, et al · 2020
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Equalization loss for long-tailed object recognition
Jingru Tan, Changbao Wang, Buyu Li, Quanquan Li, Wanli Ouyang, Changqing Yin, and Junjie Yan · 2020
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Efficientdet: Scalable and efficient object detection
Mingxing Tan, Ruoming Pang, and Quoc V Le · 2020
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The devil is in classification: A simple framework for long-tail instance segmentation
Tao Wang, Yu Li, Bingyi Kang, Junnan Li, Junhao Liew, Sheng Tang, Steven Hoi, and Jiashi Feng · 2020
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Forest r-cnn: Large-vocabulary long-tailed object detection and instance segmentation
Jialian Wu, Liangchen Song, Tiancai Wang, Qian Zhang, and Junsong Yuan · 2020
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Openclip, July 2021
Gabriel Ilharco, Mitchell Wortsman, Ross Wightman, Cade Gordon, Nicholas Carlini, Rohan Taori, Achal Dave, Vaishaal Shankar, Hongseok Namkoong, John Miller, Hannaneh Hajishirzi, Ali Farhadi, and Ludwig Schmidt · 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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Vilt: Vision-and-language transformer without convolution or region supervision
Wonjae Kim, Bokyung Son, and Ildoo Kim · 2021
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Align before fuse: Vision and language representation learning with momentum distillation
Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, and Steven Chu Hong Hoi · 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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SparseR-CNN: End-to-end object detection with learnable proposals
Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, and Ping Luo · 2021
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Equalization loss v2: A new gradient balance approach for long-tailed object detection
Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, and Quanquan Li · 2021
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FCOS: A simple and strong anchor-free object detector
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2021
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Adaptive class suppression loss for long-tail object detection
Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, and Ming Tang · 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.
Distribution alignment: A unified framework for long-tail visual recognition
Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, and Jian Sun · 2021
Cited alongside, same era.
Probabilistic two-stage detection
Xingyi Zhou, Vladlen Koltun, and Philipp Krähenbühl · 2021
Cited alongside, same era.
Deformable detr: Deformable transformers for end-to-end object detection
Xizhou Zhu, Weijie Su, Lewei Lu, Bin Li, Xiaogang Wang, and Jifeng Dai · 2021
Cited alongside, same era.
Flamingo: a visual language model for few-shot learning
Open-vocabulary object detection using pseudo caption labels
Han-Cheol Cho, Won Young Jhoo, Woohyun Kang, and Byungseok Roh · 2023
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Multi-modal classifiers for open-vocabulary object detection
Prannay Kaul, Weidi Xie, and Andrew Zisserman · 2023
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Multi-modal classifiers for open-vocabulary object detection
Prannay Kaul, Weidi Xie, and Andrew Zisserman · 2023
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Contrastive feature masking open-vocabulary vision transformer
Dahun Kim, Anelia Angelova, and Weicheng Kuo · 2023
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Region-aware pretraining for open-vocabulary object detection with vision transformers
Dahun Kim, Anelia Angelova, and Weicheng Kuo · 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, et al · 2023
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Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al · 2022
Cited alongside, same era.
Localized vision-language matching for open-vocabulary object detection
Maria Alejandra Bravo, Sudhanshu Mittal, and Thomas Brox · 2022
Cited alongside, same era.
Open vocabulary object detection with proposal mining and prediction equalization
Peixian Chen, Kekai Sheng, Mengdan Zhang, Yunhang Shen, Ke Li, and Chunhua Shen · 2022
Cited alongside, same era.
Learning to prompt for open-vocabulary object detection with vision-language model
Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, and Guoqi Li · 2022
Cited alongside, same era.
Promptdet: Towards open-vocabulary detection using uncurated images
Chengjian Feng, Yujie Zhong, Zequn Jie, Xiangxiang Chu, Haibing Ren, Xiaolin Wei, Weidi Xie, and Lin Ma · 2022
Cited alongside, same era.
Open vocabulary object detection with pseudo bounding-box labels
Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, and Caiming Xiong · 2022
Cited alongside, same era.
Scaling open-vocabulary image segmentation with image-level labels
Golnaz Ghiasi, Xiuye Gu, Yin Cui, and Tsung-Yi Lin · 2022
Cited alongside, same era.
Closest in time.
F-vlm: Open-vocabulary object detection upon frozen vision and language models
Weicheng Kuo, Yin Cui, Xiuye Gu, A. J. Piergiovanni, and Anelia Angelova · 2023
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Scaling language-image pre-training via masking
Yanghao Li, Haoqi Fan, Ronghang Hu, Christoph Feichtenhofer, and Kaiming He · 2023
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Learning object-language alignments for open-vocabulary object detection
Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, and Jianfei Cai · 2023
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Gridclip: One-stage object detection by grid-level clip representation learning
Jiaying Lin and Shaogang Gong · 2023
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Scaling open-vocabulary object detection
Matthias Minderer, Alexey A. Gritsenko, and Neil Houlsby · 2023
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Edadet: Open-vocabulary object detection using early dense alignment
Cheng Shi and Sibei Yang · 2023
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Open-vocabulary object detection via scene graph discovery
Hengcan Shi, Munawar Hayat, and Jianfei Cai · 2023
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Prompt-guided transformers for end-to-end open-vocabulary object detection
Hwanjun Song and Jihwan Bang · 2023
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V3det: Vast vocabulary visual detection dataset
Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, and Dahua Lin · 2023
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Object-aware distillation pyramid for open-vocabulary object detection
Luting Wang, Yi Liu, Penghui Du, Zihan Ding, Yue Liao, Qiaosong Qi, Biaolong Chen, and Si Liu · 2023
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Learning to detect and segment for open vocabulary object detection
Tao Wang and Nan Li · 2023
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Aligning bag of regions for open-vocabulary object detection
Size Wu, Wenwei Zhang, Sheng Jin, Wentao Liu, and Chen Change Loy · 2023
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Clipself: Vision transformer distills itself for open-vocabulary dense prediction
Size Wu, Wenwei Zhang, Lumin Xu, Sheng Jin, Xiangtai Li, Wentao Liu, and Chen Change Loy · 2023
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Cora: Adapting clip for open-vocabulary detection with region prompting and anchor pre-matching
Xiaoshi Wu, Feng Zhu, Rui Zhao, and Hongsheng Li · 2023
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Mosaicfusion: Diffusion models as data augmenters for large vocabulary instance segmentation
Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, and Chen Change Loy · 2023
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ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models
Jiarui Xu, Sifei Liu, Arash Vahdat, Wonmin Byeon, Xiaolong Wang, and Shalini De Mello · 2023
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Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip
Qihang Yu, Ju He, Xueqing Deng, Xiaohui Shen, and Liang-Chieh Chen · 2023
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A simple framework for open-vocabulary segmentation and detection
Hao Zhang, Feng Li, Xueyan Zou, Siyi Liu, Chun yue Li, Jianfeng Gao, Jianwei Yang, and Lei Zhang · 2023
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Improving pseudo labels for open-vocabulary object detection
Shiyu Zhao, Samuel Schulter, Long Zhao, Zhixing Zhang, Yumin Suh, Manmohan Chandraker, Dimitris N Metaxas, et al · 2023
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Rethinking evaluation metrics of open-vocabulary segmentaion
Hao Zhou, Tiancheng Shen, Xu Yang, Hai Huang, Xiangtai Li, Lu Qi, and Ming-Hsuan Yang · 2023
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Omg-seg: Is one model good enough for all segmentation?
Xiangtai Li, Haobo Yuan, Wei Li, Henghui Ding, Size Wu, Wenwei Zhang, Yining Li, Kai Chen, and Chen Change Loy · 2024
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Towards open vocabulary learning: A survey
Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, and Dacheng Tao · 2024
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