IITGuwahati-AI / Inclusive-Images

NIPS Challenge for Inclusive Images

Inclusive Images

NIPS Challenge for Inclusive Images

Relevant Papers:

Original Paper of Google

ILSVRC2017 Challenge Winners:

ILSVRC 2017

[1] Wang F, Jiang M, Qian C, et al. Residual Attention Network for Image Classification[J]. arXiv preprint arXiv:1704.06904, 2017.

[2] He K, Zhang X, Ren S, et al. Deep residual learning for image recognition[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.

[3] Szegedy C, Ioffe S, Vanhoucke V, et al. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning[C]//AAAI. 2017: 4278-4284.

[4] Ronneberger O, Fischer P, Brox T. U-net: Convolutional networks for biomedical image segmentation[J]. arXiv preprint arXiv:1505.04597, 2015.

[5] Lin T Y, Dollár P, Girshick R, et al. Feature pyramid networks for object detection[J]. arXiv preprint arXiv:1612.03144, 2016.

[6] Shrivastava A, Sukthankar R, Malik J, et al. Beyond skip connections: Top-down modulation for object detection[J]. arXiv preprint arXiv:1612.06851, 2016.

[7] Zeng X, Ouyang W, Yan J, et al. Crafting GBD-Net for Object Detection[J]. arXiv preprint arXiv:1610.02579, 2016.