18 citations · 32 across the 9 of their papers we have counts for
11 papers
Orthogonal Uncertainty Representation of Data Manifold for Robust Long-Tailed Learning
Yanbiao Ma, Licheng Jiao, Fang Liu +3
In scenarios with long-tailed distributions, the model's ability to identify tail classes is limited due to the under-representation of tail samples. Class rebalancing, information…
Changes-Aware Transformer: Learning Generalized Changes Representation
Dan Wang, Licheng Jiao, Jie Chen +2
Difference features obtained by comparing the images of two periods play an indispensable role in the change detection (CD) task. However, a pair of bi-temporal images can exhibit…
Referring Image Segmentation Using Text Supervision
Fang Liu, Yuhao Liu, Yuqiu Kong +5
Existing Referring Image Segmentation (RIS) methods typically require expensive pixel-level or box-level annotations for supervision. In this paper, we observe that the referring t…
Multi-model fusion for Aerial Vision and Dialog Navigation based on human attention aids
Xinyi Wang, Xuan Cui, Danxu Li +2
Drones have been widely used in many areas of our daily lives. It relieves people of the burden of holding a controller all the time and makes drone control easier to use for peopl…
One Model for All Quantization: A Quantized Network Supporting Hot-Swap Bit-Width Adjustment
Qigong Sun, Xiufang Li, Yan Ren +4
As an effective technique to achieve the implementation of deep neural networks in edge devices, model quantization has been successfully applied in many practical applications. No…
MultiResolution Attention Extractor for Small Object Detection
Fan Zhang, Licheng Jiao, Lingling Li +2
Small objects are difficult to detect because of their low resolution and small size. The existing small object detection methods mainly focus on data preprocessing or narrowing th…