923 citations · 960 across the 6 of their papers we have counts for
6 papers
ADFF: Attention Based Deep Feature Fusion Approach for Music Emotion Recognition
Zi Huang, Shulei Ji, Zhilan Hu +3
Music emotion recognition (MER), a sub-task of music information retrieval (MIR), has developed rapidly in recent years. However, the learning of affect-salient features remains a…
Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos
Muheng Li, Lei Chen, Yueqi Duan +4
Action recognition models have shown a promising capability to classify human actions in short video clips. In a real scenario, multiple correlated human actions commonly occur in…
Investigating Class-level Difficulty Factors in Multi-label Classification Problems
Mark Marsden, Kevin McGuinness, Joseph Antony +6
This work investigates the use of class-level difficulty factors in multi-label classification problems for the first time. Four class-level difficulty factors are proposed: freque…
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration
Yang He, Ping Liu, Ziwei Wang +2
Previous works utilized ''smaller-norm-less-important'' criterion to prune filters with smaller norm values in a convolutional neural network. In this paper, we analyze this norm-b…
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval
Zhedong Zheng, Liang Zheng, Yi Yang +1
Most existing works of adversarial samples focus on attacking image recognition models, while little attention is paid to the image retrieval task. In this paper, we identify two i…
Improving Person Re-identification by Attribute and Identity Learning
Yutian Lin, Liang Zheng, Zhedong Zheng +4
Person re-identification (re-ID) and attribute recognition share a common target at learning pedestrian descriptions. Their difference consists in the granularity. Most existing re…