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cs.MM2022
Complete Cross-triplet Loss in Label Space for Audio-visual Cross-modal Retrieval
Donghuo Zeng, Yanan Wang, Jianming Wu +1
The heterogeneity gap problem is the main challenge in cross-modal retrieval. Because cross-modal data (e.g. audiovisual) have different distributions and representations that cann…
cs.LG2022
Compositionality-Aware Graph2Seq Learning
Takeshi D. Itoh, Takatomi Kubo, Kazushi Ikeda
Graphs are a highly expressive data structure, but it is often difficult for humans to find patterns from a complex graph. Hence, generating human-interpretable sequences from grap…