Oktoberfest Food Dataset

Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks

Lee, D.-H · 2013

Earlier work this paper cites.

Faster R-CNN: Towards real-time object detection with region proposal networks

Ren, S., He, K., Girshick, R., and Sun, J · 2015

Earlier work this paper cites.

R-fcn: Object detection via region-based fully convolutional networks

Dai, J., Li, Y., He, K., and Sun, J · 2016

Earlier work this paper cites.

Ssd: Single shot multibox detector

Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.-Y., and Berg, A. C · 2016

Cited alongside, same era.

Towards perspective-free object counting with deep learning

Onoro-Rubio, D. and López-Sastre, R. J · 2016

Cited alongside, same era.

An implementation of faster rcnn with study for region sampling

Original

Chen, X. and Gupta, A

Cited in the paper.

Spatial memory for context reasoning in object detection

Original

Chen, X. and Gupta, A

Cited in the paper.

Speed/accuracy trade-offs for modern convolutional object detectors

Huang, J., Rathod, V., Sun, C., Zhu, M., Korattikara, A., Fathi, A., Fischer, I., Wojna, Z., Song, Y., Guadarrama, S., et al · 2017

Later among the works it cites.

Feature pyramid networks for object detection

Lin, T.-Y., Dollár, P., Girshick, R., He, K., Hariharan, B., and Belongie, S · 2017

Later among the works it cites.