37 citations · 43 across the 4 of their papers we have counts for
4 papers
Memory-based Jitter: Improving Visual Recognition on Long-tailed Data with Diversity In Memory
Jialun Liu, Jingwei Zhang, Yi yang +3
This paper considers deep visual recognition on long-tailed data. To be general, we consider two applied scenarios, \ie, deep classification and deep metric learning. Under the lon…
Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective
Jialun Liu, Yifan Sun, Chuchu Han +2
This paper considers learning deep features from long-tailed data. We observe that in the deep feature space, the head classes and the tail classes present different distribution p…
Saliency guided deep network for weakly-supervised image segmentation
Fengdong Sun, Wenhui Li
Weakly-supervised image segmentation is an important task in computer vision. A key problem is how to obtain high quality objects location from image-level category. Classification…
Self-Attention Recurrent Network for Saliency Detection
Fengdong Sun, Wenhui Li, Yuanyuan Guan
Feature maps in deep neural network generally contain different semantics. Existing methods often omit their characteristics that may lead to sub-optimal results. In this paper, we…