9 citations · 18 across the 10 of their papers we have counts for
4 papers · 1 filter
Progressive Multi-scale Fusion Network for RGB-D Salient Object Detection
Guangyu Ren, Yanchu Xie, Tianhong Dai +1
Salient object detection(SOD) aims at locating the most significant object within a given image. In recent years, great progress has been made in applying SOD on many vision tasks.…
Dynamic Knowledge Distillation With Noise Elimination for RGB-D Salient Object Detection
Guangyu Ren, Yinxiao Yu, Hengyan Liu +1
RGB-D salient object detection (SOD) demonstrates its superiority on detecting in complex environments due to the additional depth information introduced in the data. Inevitably, a…
Tensor feature hallucination for few-shot learning
Michalis Lazarou, Tania Stathaki, Yannis Avrithis
Few-shot learning addresses the challenge of learning how to address novel tasks given not just limited supervision but limited data as well. An attractive solution is synthetic da…
Few-shot learning via tensor hallucination
Michalis Lazarou, Yannis Avrithis, Tania Stathaki
Few-shot classification addresses the challenge of classifying examples given only limited labeled data. A powerful approach is to go beyond data augmentation, towards data synthes…