The Elephant in the Room

Principles of neurodynamics. perceptrons and the theory of brain mechanisms

F. Rosenblatt · 1961

Earlier work this paper cites.

Perceiving real-world scenes

I. Biederman · 1972

Earlier work this paper cites.

Illusory conjunctions in the perception of objects

A. Treisman and H. Schmidt · 1982

Earlier work this paper cites.

Shiftable multiscale transforms

E. P. Simoncelli, W. T. Freeman, E. H. Adelson, and D. J. Heeger · 1992

Earlier work this paper cites.

Modeling visual attention via selective tuning

J. K. Tsotsos, S. M. Culhane, W. Y. K. Wai, Y. Lai, N. Davis, and F. Nuflo · 1995

Earlier work this paper cites.

The what and why of binding: the modeler’s perspective

C. Von der Malsburg · 1999

Earlier work this paper cites.

The different stages of visual recognition need different attentional binding strategies

J. K. Tsotsos, A. J. Rodríguez-Sánchez, A. L. Rothenstein, and E. Simine · 2008

Earlier work this paper cites.

Context models and out-of-context objects

M. J. Choi, A. Torralba, and A. S. Willsky · 2012

Cited alongside, same era.

Intriguing properties of neural networks

Original

C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2013

Cited alongside, same era.

Microsoft coco: Common objects in context

T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014

Cited alongside, same era.

Fast r-cnn

R. Girshick · 2015

Cited alongside, same era.

Faster r-cnn: Towards real-time object detection with region proposal networks

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

Cited alongside, same era.

Complexity Level Analysis Revisited: What Can 30 Years of Hindsight Tell Us About How the Brain Might Represent Visual Information?

Ssd: Single shot multibox detector

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

Later among the works it cites.

Speed/accuracy trade-offs for modern convolutional object detectors

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

Later among the works it cites.

A-fast-rcnn: Hard positive generation via adversary for object detection

X. Wang, A. Shrivastava, and A. Gupta · 2017

Later among the works it cites.

Why do deep convolutional networks generalize so poorly to small image transformations?

Original

A. Azulay and Y. Weiss · 2018

Closest in time.

Yolov3: An incremental improvement

Original

J. Redmon and A. Farhadi · 2018

Closest in time.