290 citations · 363 across the 4 of their papers we have counts for
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cs.CV2024★ 32 cited
Inter-Domain Mixup for Semi-Supervised Domain Adaptation
Jichang Li, Guanbin Li, Yizhou Yu
Semi-supervised domain adaptation (SSDA) aims to bridge source and target domain distributions, with a small number of target labels available, achieving better classification perf…
cs.CV2020
When Relation Networks meet GANs: Relation GANs with Triplet Loss
Runmin Wu, Kunyao Zhang, Lijun Wang +4
Though recent research has achieved remarkable progress in generating realistic images with generative adversarial networks (GANs), the lack of training stability is still a linger…
cs.CV2014★ 41 cited
HD-CNN: Hierarchical Deep Convolutional Neural Network for Large Scale Visual Recognition
Zhicheng Yan, Hao Zhang, Robinson Piramuthu +4
In image classification, visual separability between different object categories is highly uneven, and some categories are more difficult to distinguish than others. Such difficult…