LING, Fei, ZHU, Zheyan und FAN, Wen, 2026. Enhancing scene graph generation via hybrid co-attention and predicate reweighting for long-tail robustness. Peer J Computer Science. 1 Januar 2026. P. 1-22. DOI 10.7717/peerj-cs.3548.
Elsevier - Harvard (with titles)Ling, F., Zhu, Z., Fan, W., 2026. Enhancing scene graph generation via hybrid co-attention and predicate reweighting for long-tail robustness. Peer J Computer Science 1-22. https://doi.org/10.7717/peerj-cs.3548
American Psychological Association 7th editionLing, F., Zhu, Z., & Fan, W. (2026). Enhancing scene graph generation via hybrid co-attention and predicate reweighting for long-tail robustness. Peer J Computer Science, 1-22. https://doi.org/10.7717/peerj-cs.3548
Springer - Basic (author-date)Ling F, Zhu Z, Fan W (2026) Enhancing scene graph generation via hybrid co-attention and predicate reweighting for long-tail robustness.. Peer J Computer Science 1-22. https://doi.org/10.7717/peerj-cs.3548
Juristische Zitierweise (Stüber) (Deutsch)Ling, Fei/ Zhu, Zheyan/ Fan, Wen, Enhancing scene graph generation via hybrid co-attention and predicate reweighting for long-tail robustness., Peer J Computer Science 2026, 1-22.