W. Chen, D. Xie, Y. Zhang, and S. Pu, All you need is a few shifts: Designing efficient convolutional neural networks for image classification, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

S. Chennupati, G. Sistu, S. Yogamani, and S. Rawashdeh, Auxnet: Auxiliary tasks enhanced semantic segmentation for automated driving, International Conference on Computer Vision Theory and Applications (VISAPP), 2019.

J. Deng, W. Dong, R. Socher, L. Li, K. Li et al., Imagenet: A large-scale hierarchical image database, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.

S. En, A. Lechervy, J. , and F. , Ts-net: combining modality specific and common features for multimodal patch matching, 2018 IEEE International Conference on Image Processing (ICIP), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01804551

R. Hadsell, S. Chopra, and Y. Lecun, Dimensionality reduction by learning an invariant mapping, 2006 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'06), vol.2, pp.1735-1742, 2006.

K. He, X. Zhang, S. Ren, and J. Sun, Deep residual learning for image recognition, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.

A. Kolesnikov, X. Zhai, and L. Beyer, Revisiting self-supervised visual representation learning, 2019 IEEE conference on computer vision and pattern recognition (CVPR), 2019.

W. Lee, J. Na, K. , and G. , Multi-task selfsupervised object detection via recycling of bounding box annotations, 2019 IEEE conference on computer vision and pattern recognition (CVPR), 2019.

B. Li, W. Wu, Q. Wang, F. Zhang, J. Xing et al., Siamrpn++: Evolution of siamese visual tracking with very deep networks, The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

P. Márquez-neila, M. Salzmann, and P. Fua, Imposing hard constraints on deep networks: Promises and limitations, CVPR Workshop on Negative Results in Computer Vision, 2017.

E. Simo-serra, E. Trulls, L. Ferraz, I. Kokkinos, P. Fua et al., Discriminative learning of deep convolutional feature point descriptors, Proceedings of the IEEE International Conference on Computer Vision, pp.118-126, 2015.
URL : https://hal.archives-ouvertes.fr/hal-02432714

K. Simonyan and A. Zisserman, Very deep convolutional networks for large-scale image recognition, International Conference on Learning Representations, 2015.

C. Song, Y. Huang, W. Ouyang, W. , and L. , Mask-guided contrastive attention model for person re-identification, 2018 IEEE conference on computer vision and pattern recognition (CVPR), 2018.

S. Zagoruyko and N. Komodakis, Learning to compare image patches via convolutional neural networks, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.4353-4361, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01246261

X. Zhou, Q. Huang, X. Sun, X. Xue, W. et al., Towards 3d human pose estimation in the wild: A weakly-supervised approach, 2017 IEEE International Conference on Computer Vision (ICCV), pp.398-407, 2017.