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07/29/2021
A Unified Efficient Pyramid Transformer for Semantic Segmentation
Semantic segmentation is a challenging problem due to difficulties in mo...
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04/30/2020
Improving Semantic Segmentation via Self-Training
Deep learning usually achieves the best results with complete supervisio...
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04/24/2020
A Tailored Pre-Training Model for Task-Oriented Dialog Generation
The recent success of large pre-trained language models such as BERT and...
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04/19/2020
ResNeSt: Split-Attention Networks
While image classification models have recently continued to advance, mo...
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06/12/2019
HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large-scale Point Clouds
We present a novel deep neural network architecture for end-to-end scene...
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10/01/2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network
We present a new algorithm to train a robust neural network against adve...
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11/08/2016