3 accepted papers
How to properly align the extracted visual features with certain semantic embeddings of unseen objects is crucial to the problem of Zero-Shot Object Detection (ZSD). To give a better guess of those unseen visual features, a partitioned contrast strategy is proposed in this paper to train the visual…
Neural network pruning offers a promising prospect to compress and accelerate modern deep convolution networks. The stripe-wise pruning method with a finer granularity than traditional methods has become the focus of research. Inspired by the previous work, a new balanced stripe-wise pruning, includ…
Computational efficiency of modern deep convolutional networks is always desired in real world applications. Various types of group convolutions have been widely used to reduce the complexity of the networks. Inspired by the previous work, a new reweighted dynamic group convolution (RDGC) structure,…