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This paper presents a detection-aware pre-training (DAP) approach, which leverages only weakly-labeled classification-style datasets (e.g., ImageNet) for pre-training, but is specifically tailored to benefit object detection tasks.
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Hakan Bilen and Andrea Vedaldi · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Contextlocnet: Context-aware deep network models for weakly supervised localization
Vadim Kantorov, Maxime Oquab, Minsu Cho, and Ivan Laptev · 2016
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Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba · 2016
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Mask r-cnn
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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
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Dsod: Learning deeply supervised object detectors from scratch
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, and Xiangyang Xue · 2017
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wav2vec: Unsupervised pre-training for speech recognition
Steffen Schneider, Alexei Baevski, Ronan Collobert, and Michael Auli · 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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Understanding the effects of pre-training for object detectors via eigenspectrum
Yosuke Shinya, Edgar Simo-Serra, and Taiji Suzuki · 2019
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Wsod2: Learning bottom-up and top-down objectness distillation for weakly-supervised object detection
Zhaoyang Zeng, Bei Liu, Jianlong Fu, Hongyang Chao, and Lei Zhang · 2019
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Scratchdet: Training single-shot object detectors from scratch
Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, and Tao Mei · 2019
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Revisiting unreasonable effectiveness of data in deep learning era
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Multiple instance detection network with online instance classifier refinement
Peng Tang, Xinggang Wang, Xiang Bai, and Wenyu Liu · 2017
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Exploring the limits of weakly supervised pretraining
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten · 2018
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Data distillation: Towards omni-supervised learning
Ilija Radosavovic, Piotr Dollár, Ross Girshick, Georgia Gkioxari, and Kaiming He · 2018
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Ts2c: Tight box mining with surrounding segmentation context for weakly supervised object detection
Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, and Thomas Huang · 2018
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Adversarial complementary learning for weakly supervised object localization
Xiaolin Zhang, Yunchao Wei, Jiashi Feng, Yi Yang, and Thomas S Huang · 2018
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A simple framework for contrastive learning of visual representations
Ting Chen, Simon Kornblith, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Big self-supervised models are strong semi-supervised learners
Ting Chen, Simon Kornblith, Kevin Swersky, Mohammad Norouzi, and Geoffrey Hinton · 2020
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Evaluating weakly supervised object localization methods right
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Momentum contrast for unsupervised visual representation learning
Kaiming He, Haoqi Fan, Yuxin Wu, Saining Xie, and Ross Girshick · 2020
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Big transfer (bit): General visual representation learning
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maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch
Francisco Massa and Ross Girshick · 2020
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Self-training and pre-training are complementary for speech recognition
Qiantong Xu, Alexei Baevski, Tatiana Likhomanenko, Paden Tomasello, Alexis Conneau, Ronan Collobert, Gabriel Synnaeve, and Michael Auli · 2020
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Boosting weakly supervised object detection with progressive knowledge transfer
Yuanyi Zhong, Jianfeng Wang, Jian Peng, and Lei Zhang · 2020
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Cheaper pre-training lunch: An efficient paradigm for object detection
Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, and Wanli Ouyang · 2020
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Rethinking pre-training and self-training
Barret Zoph, Golnaz Ghiasi, Tsung-Yi Lin, Yin Cui, Hanxiao Liu, Ekin D Cubuk, and Quoc V Le · 2020
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