反复无常 发表于 2025-3-25 03:27:15
http://reply.papertrans.cn/24/2343/234234/234234_21.png妈妈不开心 发表于 2025-3-25 08:43:53
Sports Economics, Management and Policydic decomposition theory (., a high-rank tensor can be expressed as a combination of rank-1 tensors.), we design a low-rank-to-high-rank context reconstruction framework (., RecoNet). Specifically, we first introduce the tensor generation module (TGM), which generates a number of rank-1 tensors to cacquisition 发表于 2025-3-25 15:26:37
http://reply.papertrans.cn/24/2343/234234/234234_23.png极大的痛苦 发表于 2025-3-25 16:58:40
http://reply.papertrans.cn/24/2343/234234/234234_24.png他姓手中拿着 发表于 2025-3-25 23:49:46
https://doi.org/10.1007/978-1-349-25485-9on and regression benchmarks, and on out-of-distribution detection for classification and semantic segmentation. We achieve competitive results, while preserving computational efficiency in comparison to ensemble approaches.Colonoscopy 发表于 2025-3-26 03:59:02
Insurance and the Selection Probleme temporal dimension, along the spatial dimension, we adversarially perturb the physical properties (., texture and 3D shape) of the contextual objects that appeared in the most important scene views. Extensive experiments on the EQA-v1 dataset for several embodied tasks in both the white-box and bl细微的差异 发表于 2025-3-26 04:41:15
Investment Finance and the Selection Problems. In this work, we propose a simple yet effective method, which trains a face recognition model by progressively expanding the labeled set via both selective propagation and caption-driven expansion. We build a large-scale dataset of captioned images, which contain 6.3. faces from 305. subjects. OuPreserve 发表于 2025-3-26 12:16:47
Insurance and the Hidden Action Problemk easier and enables the generation of multiple neutral-pose results among which users can choose the best one they like. Qualitative and quantitative evaluations show the superiority of our pipeline over alternatives.说明 发表于 2025-3-26 13:25:46
Class-Wise Dynamic Graph Convolution for Semantic Segmentation, learn the feature aggregation and weight allocation. Then the refined feature and the original feature are fused to get the final prediction. We conduct extensive experiments on three popular semantic segmentation benchmarks including Cityscapes, PASCAL VOC 2012 and COCO Stuff, and achieve state-of过分自信 发表于 2025-3-26 18:10:45
Character-Preserving Coherent Story Visualization,rporating figure-ground information). Moreover, we propose a metric named Fréchet Story Distance (FSD) to evaluate the performance of story visualization. Extensive experiments demonstrate that CP-CSV maintains the details of character information and achieves high consistency among different frames