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The great success that deep models have achieved in the past is mainly owed to large amounts of labeled training data.
Support vector machine active learning with applications to text classification
Tong, S. and Koller, D. (2001) · 2001
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Active learning for visual object detection
Abramson, Y. and Freund, Y. (2006) · 2006
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Large-scale text categorization by batch mode active learning
Hoi, S. C., Jin, R., and Lyu, M. R. (2006) · 2006
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Learning on the border: active learning in imbalanced data classification
Ertekin, S., Huang, J., Bottou, L., and Giles, L. (2007) · 2007
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Active learning for large multi-class problems
Jain, P. and Kapoor, A. (2009) · 2009
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Active learning literature survey
Settles, B. (2009) · 2009
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The pascal visual object classes (voc) challenge
Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., and Zisserman, A. (2010) · 2010
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Gaussian processes for object categorization
Kapoor, A., Grauman, K., Urtasun, R., and Darrell, T. (2010) · 2010
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Active learning for object detection on satellite images
Bietti, A. (2012) · 2012
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Interactive object detection
Yao, A., Gall, J., Leistner, C., and Van Gool, L. (2012) · 2012
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Selective search for object recognition
Uijlings, J. R., Van De Sande, K. E., Gevers, T., and Smeulders, A. W. (2013) · 2013
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Rich feature hierarchies for accurate object detection and semantic segmentation
Girshick, R., Donahue, J., Darrell, T., and Malik, J. (2014) · 2014
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Adam: A method for stochastic optimization
Kingma, D. P. and Ba, J. (2014) · 2014
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Large-scale live active learning: Training object detectors with crawled data and crowds
Vijayanarasimhan, S. and Grauman, K. (2014) · 2014
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A new active labeling method for deep learning
Wang, D. and Shang, Y. (2014) · 2014
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A batch-mode active learning svm method based on semi-supervised clustering
Fu, C.-J. and Yang, Y.-P. (2015) · 2015
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Fast R-CNN
Girshick, R. (2015) · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., and Sun, J. (2015) · 2015
Cited alongside, same era.
You only look once: Unified, real-time object detection
Redmon, J., Divvala, S., Girshick, R., and Farhadi, A. (2016) · 2016
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Active learning with version spaces for object detection
Roy, S., Namboodiri, V. P., and Biswas, A. (2016) · 2016
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Cost-effective active learning for deep image classification
Wang, K., Zhang, D., Li, Y., Zhang, R., and Lin, L. (2016) · 2016
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Deep active learning for civil infrastructure defect detection and classification
Feng, C., Liu, M.-Y., Kao, C.-C., and Lee, T.-Y. (2017) · 2017
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Dssd: Deconvolutional single shot detector
Fu, C.-Y., Liu, W., Ranga, A., Tyagi, A., and Berg, A. C. (2017) · 2017
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Captcha recognition with active deep learning
Stark, F., Hazırbas, C., Triebel, R., and Cremers, D. (2015) · 2015
Cited alongside, same era.
Active learning for speech recognition: the power of gradients
Huang, J., Child, R., Rao, V., Liu, H., Satheesh, S., and Coates, A. (2016) · 2016
Cited alongside, same era.
Overcoming catastrophic forgetting in neural networks
Kirkpatrick, J., Pascanu, R., Rabinowitz, N. C., Veness, J., Desjardins, G., Rusu, A. A., Milan, K., Quan, J., Ramalho, T., Grabska-Barwinska, A., Hassabis, D., Clopath, C., Kumaran, D., and Hadsell, R. (2016) · 2016
Cited alongside, same era.
Crowdsourcing in computer vision
Kovashka, A., Russakovsky, O., Fei-Fei, L., and Grauman, K. (2016) · 2016
Cited alongside, same era.
SSD: Single shot multibox detector
Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., and Berg, A. C. (2016) · 2016
Cited alongside, same era.
We dont need no bounding-boxes: Training object class detectors using only human verification
Papadopoulos, D. P., Uijlings, J. R. R., Keller, F., and Ferrari, V. (2016) · 2016
Cited alongside, same era.
Gal, Y., Islam, R., and Ghahramani, Z. (2017) · 2017
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Feature pyramid networks for object detection
Lin, T.-Y., Dollár, P., Girshick, R., He, K., Hariharan, B., and Belongie, S. (2017) · 2017
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Active deep learning for classification of hyperspectral images
Liu, P., Zhang, H., and Eom, K. B. (2017) · 2017
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Yolo9000: Better, faster, stronger
Redmon, J. and Farhadi, A. (2017) · 2017
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Incremental learning of object detectors without catastrophic forgetting
Shmelkov, K., Schmid, C., and Alahari, K. (2017) · 2017
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The power of ensembles for active learning in image classification
Beluch, W. H., Genewein, T., Nürnberger, A., and Köhler, J. M. (2018) · 2018
Closest in time.
Yolov3: An incremental improvement
Redmon, J. and Farhadi, A. (2018) · 2018
Closest in time.