30 citations · 62 across the 4 of their papers we have counts for
4 papers
360-Indoor: Towards Learning Real-World Objects in 360° Indoor Equirectangular Images
Shih-Han Chou, Cheng Sun, Wen-Yen Chang +3
While there are several widely used object detection datasets, current computer vision algorithms are still limited in conventional images. Such images narrow our vision in a restr…
Efficient Uncertainty Estimation for Semantic Segmentation in Videos
Po-Yu Huang, Wan-Ting Hsu, Chun-Yueh Chiu +2
Uncertainty estimation in deep learning becomes more important recently. A deep learning model can't be applied in real applications if we don't know whether the model is certain a…
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Wan-Ting Hsu, Chieh-Kai Lin, Ming-Ying Lee +3
We propose a unified model combining the strength of extractive and abstractive summarization. On the one hand, a simple extractive model can obtain sentence-level attention with h…
Show, Adapt and Tell: Adversarial Training of Cross-domain Image Captioner
Tseng-Hung Chen, Yuan-Hong Liao, Ching-Yao Chuang +3
Impressive image captioning results are achieved in domains with plenty of training image and sentence pairs (e.g., MSCOCO). However, transferring to a target domain with significa…