Fetching the paper…
Reading the bibliography…
Deep neural networks based methods have been proved to achieve outstanding performance on object detection and classification tasks.
Visual adaptation: Neural, psychological and computational aspects
C. W. Clifford, M. A. Webster, G. B. Stanley, A. A. Stocker, A. Kohn, T. O. Sharpee, and O. Schwartz · 2007
Earlier work this paper cites.
The pursuit of happyness, 2008
G. Muccino · 2008
Earlier work this paper cites.
Actions in context
M. Marszałek, I. Laptev, and C. Schmid · 2009
Earlier work this paper cites.
The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
Earlier work this paper cites.
Learning object class detectors from weakly annotated video
A. Prest, C. Leistner, J. Civera, C. Schmid, and V. Ferrari · 2012
Earlier work this paper cites.
The Office, 2013
G. Daniels · 2013
Earlier work this paper cites.
Fish and cat, 2013
S. Mokri · 2013
Earlier work this paper cites.
Compressing deep convolutional networks using vector quantization
Y. Gong, L. Liu, M. Yang, and L. Bourdev · 2014
Earlier work this paper cites.
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
Earlier work this paper cites.
Fitnets: Hints for thin deep nets
A. Romero, N. Ballas, S. E. Kahou, A. Chassang, C. Gatta, and Y. Bengio · 2014
Earlier work this paper cites.
Deep domain confusion: Maximizing for domain invariance
E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell · 2014
Earlier work this paper cites.
Learning deep features for scene recognition using places database
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva · 2014
Earlier work this paper cites.
S. Han, H. Mao, and W. J. Dally · 2015
Earlier work this paper cites.
Learning both weights and connections for efficient neural network
S. Han, J. Pool, J. Tran, and W. Dally · 2015
Earlier work this paper cites.
Distilling the knowledge in a neural network
G. Hinton, O. Vinyals, and J. Dean · 2015
Earlier work this paper cites.
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.
Visual adaptation
M. A. Webster · 2015
Cited alongside, same era.
R-fcn: Object detection via region-based fully convolutional networks
J. Dai, Y. Li, K. He, and J. Sun · 2016
Cited alongside, same era.
Cross modal distillation for supervision transfer
S. Gupta, J. Hoffman, and J. Malik · 2016
Cited alongside, same era.
Squeezenet: Alexnet-level accuracy with 50x fewer parameters and¡ 0.5 mb model size
F. N. Iandola, S. Han, M. W. Moskewicz, K. Ashraf, W. J. Dally, and K. Keutzer · 2016
Cited alongside, same era.
Learning convolutional action primitives for fine-grained action recognition
C. Lea, R. Vidal, and G. D. Hager · 2016
Dark model adaptation: Semantic image segmentation from daytime to nighttime
D. Dai and L. Van Gool · 2018
Later among the works it cites.
Rim: Robust intersection management for connected autonomous vehicles
M. Khayatian, M. Mehrabian, and A. Shrivastava · 2018
Later among the works it cites.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2018
Later among the works it cites.
Object detection at 200 frames per second
R. Mehta and C. Ozturk · 2018
Later among the works it cites.
Online model distillation for efficient video inference
R. T. Mullapudi, S. Chen, K. Zhang, D. Ramanan, and K. Fatahalian · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Xnor-net: Imagenet classification using binary convolutional neural networks
M. Rastegari, V. Ordonez, J. Redmon, and A. Farhadi · 2016
Cited alongside, same era.
Adapting models to signal degradation using distillation
J.-C. Su and S. Maji · 2016
Cited alongside, same era.
Learning structured sparsity in deep neural networks
W. Wen, C. Wu, Y. Wang, Y. Chen, and H. Li · 2016
Cited alongside, same era.
Learning efficient object detection models with knowledge distillation
G. Chen, W. Choi, X. Yu, T. Han, and M. Chandraker · 2017
Cited alongside, same era.
Dssd: Deconvolutional single shot detector
C.-Y. Fu, W. Liu, A. Ranga, A. Tyagi, and A. C. Berg · 2017
Cited alongside, same era.
Automatic differentiation in pytorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Cited alongside, same era.
J. Redmon and A. Farhadi · 2018
Later among the works it cites.
Real-world anomaly detection in surveillance videos
W. Sultani, C. Chen, and M. Shah · 2018
Later among the works it cites.
Edge-based anomalous sensor placement detection for participatory sensing of urban heat islands
N. H. Tonekaboni, S. Kulkarni, and L. Ramaswamy · 2018
Later among the works it cites.
Scouts: A smart community centric urban heat monitoring framework
N. H. Tonekaboni, L. Ramaswamy, D. Mishra, A. Grundstein, S. Kulkarni, and Y. Yin · 2018
Later among the works it cites.
Active object perceiver: Recognition-guided policy learning for object searching on mobile robots
X. Ye, Z. Lin, H. Li, S. Zheng, and Y. Yang · 2018
Later among the works it cites.
Polar: A pipelined/overlapped fpga-based lstm accelerator
E. Bank-Tavakoli, S. A. Ghasemzadeh, M. Kamal, A. Afzali-Kusha, and M. Pedram · 2019
Closest in time.
A novel design of adaptive and hierarchical convolutional neural networks using partial reconfiguration on fpga
M. Farhadi, M. Ghasemi, and Y. Yang · 2019
Closest in time.
Crossroads+: A time-aware approach for intersection management of connected autonomous vehicles
M. Khayatian, Y. Lou, M. Mehrabian, and A. Shirvastava · 2019
Closest in time.
Worst-case satisfaction of stl specifications using feedforward neural network controllers: a lagrange multipliers approach
S. Yaghoubi and G. Fainekos · 2019
Closest in time.
Gaple: Generalizable approaching policy learning for robotic object searching in indoor environment
X. Ye, Z. Lin, J.-Y. Lee, J. Zhang, S. Zheng, and Y. Yang · 2019
Closest in time.