attention fusion 摘要 Image segmentation can reveal the semantic structure information in an image, which is helpful guidance information for image inpainting. Notably, it can help mitigate the artifacts on the boundaries of different semantic regions during the inpainting process. Existing semantic guidan...
Li, Wong, Zhao, and Kankanhalli (2019)Image captioningMAML-basedAAAI Yin, Tucker, Zhou, Levine, and Finn (2019)Memorization issueMeta-regularizationICLR Pham, Dai, Xie, Luong, and Le (2021)Meta-pseudo labelMeta-pseudo labelCVPR View chapter ...
（1）GCN顾名思义：应用场景一定会有Graph上的任务。社交网络、调控网络、生物分子结构等都可以表示成Gr...
What is more interesting is that parsing and image captioning [28], POS tagging and NER [33], and dependency tree structure [42] can also perform as auxiliary tasks to machine translation. Other NLP tasks such as semantic parsing [35], question answering [9] and chunking [38] have also ...
(2018). Exploring visual relationship for image captioning. In Proceedings of the European conference on computer vision (ECCV) (pp. 684–699). Yin, G., Sheng, L., Liu, B., Yu, N., Wang, X., Shao, J., & Loy, C.C. (2018). Zoom-net: Mining deep feature interactions for ...
第一层网络与具体query无关，是所有query共享的预处理操作。图网络的第二层为每个query建立，并为每一...
Cloud computing has received attention as an innovative model due to the fast growth of Internet technology [1]. In the cloud computing system, distributed computing technology and various open service interfaces are used to obtain benefits by selling its redundant computing and storage capabilities to...
Conflicts are resolved by sequential planning, exploiting the knowledge of others’ plans for task assignment and collision-free path planning. In the image, each robot is identified by its unique color and number, i.e., 𝑟1r1 white, 𝑟2r2 green, 𝑟3r3 blue, 𝑟4r4 yellow. Grey ...
Self-critical sequence training for image captioning. In CVPR, pages 7008–7024, 2017. 4 [35] James Requeima, Jonathan Gordon, John Bronskill, Sebas- tian Nowozin, and Richard E Turner. Fast and flexible multi-task classification using conditional neural adaptive pr...
2-Stage Image Captioning. Only for XVLM models, you can also run a warmup pretraining tailored to Image Captioning with captioning_pretrain.py for both dense or pruned models. In short, it optimizes a Language Modelling loss for 1epoch on the 4M Dataset. For this, you also need ...