SlideGCD: Slide-Based Graph Collaborative Training withKnowledge Distillation forWhole Slide Image Classificationdoi:10.1007/978-3-031-72083-3_44... T Shu,J Shi,D Sun,... - International Conference on Medical Image Computing & Computer-assisted Intervention 被引量: 0发表: 2024年 融合知识图谱的...
Distillation of human–object interaction contexts for action recognition Modeling spatial-temporal relations is imperative for recognizing human actions, especially when a human is interacting with objects, while multiple object... M Almushyti,FB Li - 《Computer Animation & Virtual Worlds》 被引量: ...
Cross-spatial Graph Knowledge Distillation based Class Incremental Learning for Social Relationship Recognition - tw-repository/CSGKD
Semantics-aware adaptive knowledge distillation for sensor- to-vision action recognition. IEEE Transactions on Image Processing, 30:5573–5588, 2021. 2 [43] Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, and Liang Lin. Tcgl: Temporal contrastive graph for self...
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation, 2021. Google Scholar [77] Clevert D.-A., Unterthiner T., Hochreiter S. Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs), 2016. Google Scholar [78] Y. Cao, H. Wang, W....
SAM-Net: Self-Attention based Feature Matching with Spatial Transformers and Knowledge Distillation[Formula presented] 2024, Expert Systems with Applications Citation Excerpt : The CNN backbone extracts initial features, which are updated with iterative Global Local Attention (GLA) blocks, and a matching...
Moreover, a pipeline for prioritizing the generated compounds was also proposed to narrow down our validation focus. In this work, GraphGMVAE was validated by rapidly hopping the scalold from FDA-approved upadacitinib, which is an inhibitor of human Janus kinase 1 (JAK1), to generate more ...
Embedding Network for Context-Drifting Recommendations Improving Knowledge-aware Recommendation...Neural Network for Personalized Micro-video Recommendation Multi-level Contrastive Learning Framework...Neural Networks Storage-saving Transformer for Sequential Recommendations Target Interest D...
Moreover, we frame the MIL classifier and graph learning into two parallel workflows and deploy the knowledge distillation to transfer the differentiable information to the graph neural network. The consistent performance boosting, brought by SlideGCD, of four previous state-of-the-art MIL methods ...
关键词: Action recognition Human skeleton Graph convolutional Knowledge distillation DOI: 10.1016/j.asoc.2023.110575 年份: 2023 收藏 引用 批量引用 报错 分享 全部来源 求助全文 dx.doi.org 相似文献Merge-and-Split Graph Convolutional Network for Skeleton-Based Interaction Recognition...