Papers
Environment Upgrade Reinforcement Learning for Non-Differentiable Multi-Stage Pipelines
Shuqin Xie, Zitian Chen, Chao Xu et al.
Collaborative and Adversarial Network for Unsupervised Domain Adaptation
Weichen Zhang, Wanli Ouyang, Wen Li et al.
Weakly Supervised Instance Segmentation Using Class Peak Response
Yanzhao Zhou, Yi Zhu, Qixiang Ye et al.
Shape From Shading Through Shape Evolution
Dawei Yang, Jia Deng
Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini, Lorenzo Porzi, Samuel Rota Bulò et al.
Empirical Study of the Topology and Geometry of Deep Networks
Alhussein Fawzi, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard et al.
Learning From Synthetic Data: Addressing Domain Shift for Semantic Segmentation
Swami Sankaranarayanan, Yogesh Balaji, Arpit Jain et al.
Multi-Task Adversarial Network for Disentangled Feature Learning
Yang Liu, Zhaowen Wang, Hailin Jin et al.
Unsupervised Feature Learning via Non-Parametric Instance Discrimination
Zhirong Wu, Yuanjun Xiong, Stella X. Yu et al.
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku et al.
Taskonomy: Disentangling Task Transfer Learning
Amir R. Zamir, Alexander Sax, William Shen et al.
Wasserstein Introspective Neural Networks
Kwonjoon Lee, Weijian Xu, Fan Fan et al.
Efficient Optimization for Rank-Based Loss Functions
Pritish Mohapatra, Michal Rolínek, C.V. Jawahar et al.
DenseASPP for Semantic Segmentation in Street Scenes
Maoke Yang, Kun Yu, Chi Zhang et al.
Vision-and-Language Navigation: Interpreting Visually-Grounded Navigation Instructions in Real Environments
Peter Anderson, Qi Wu, Damien Teney et al.
Unsupervised Deep Generative Adversarial Hashing Network
Kamran Ghasedi Dizaji, Feng Zheng, Najmeh Sadoughi et al.
Textbook Question Answering Under Instructor Guidance With Memory Networks
Juzheng Li, Hang Su, Jun Zhu et al.
Link and Code: Fast Indexing With Graphs and Compact Regression Codes
Matthijs Douze, Alexandre Sablayrolles, Hervé Jégou
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
David Novotny, Samuel Albanie, Diane Larlus et al.
Structured Set Matching Networks for One-Shot Part Labeling
Jonghyun Choi, Jayant Krishnamurthy, Aniruddha Kembhavi et al.
Divide and Grow: Capturing Huge Diversity in Crowd Images With Incrementally Growing CNN
Deepak Babu Sam, Neeraj N. Sajjan, R. Venkatesh Babu et al.
VizWiz Grand Challenge: Answering Visual Questions From Blind People
Danna Gurari, Qing Li, Abigale J. Stangl et al.
Zero-Shot Sketch-Image Hashing
Yuming Shen, Li Liu, Fumin Shen et al.
Relation Networks for Object Detection
Han Hu, Jiayuan Gu, Zheng Zhang et al.
An Analysis of Scale Invariance in Object Detection SNIP
Bharat Singh, Larry S. Davis