Triple 'Strong Accept' for CVPR 2019: Reinforced Cross-Modal Matching & Self-Supervised Imitation…

The Conference on Computer Vision and Pattern Recognition (CVPR) is one of the world's top computer vision (CV) conferences. CVPR 2019 runs June 15 through June 21 in Long Beach, California, and the list of accepted papers for the prestigious gathering has now been released. A total of 1300 papers were accepted from a record-high 5165 submissions this year, and one standout already garnering attention is Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. The paper is said to have received all three "Strong Accepts" in the peer review and ranks 1, according to University of California, Santa Barbara NLP Group Director William Wang, who is also one of the paper's authors. The paper proposes a new method for vision-language navigation (VLN) tasks that combines the strengths of both reinforcement learning and self-supervised imitation learning.