3 accepted papers
For long-tailed image recognition tasks, re-weighting is effective to alleviate data imbalance by assigning higher weights to tail categories. However, existing re-weighting methods typically adopt a static weighting scheme, which usually hurts the accuracy of head categories. To deal with this issu…
Convolutional neural networks (CNNs) have shown remarkable performance on various tasks. Despite its widespread adoption, the decision procedure of the network still lacks transparency and interpretability, making it difficult to enhance the performance further. Hence, there has been considerable in…
Recently, local features computed using convolutional neural networks (CNNs) show good performance to image retrieval. However, the local convolutional features obtained by the CNNs (LC features) are inherently sensitive to rotation perturbations. This leads to miss-judgements in retrieval tasks. In…