vanquish 发表于 2025-3-26 21:13:04
http://reply.papertrans.cn/67/6636/663597/663597_31.pngoccult 发表于 2025-3-27 01:33:29
A Measurement-Based Quantum-Like Language Model for Text Matching mostly generated by randomly initialized parameter matrices, which cannot well explain the role of measurement operators in quantum theory. In this paper, we propose a Measurement-Based Quantum-like Language Model (MBQLM). Specifically, each word is considered a fundamental event in quantum probabiJOG 发表于 2025-3-27 09:10:44
http://reply.papertrans.cn/67/6636/663597/663597_33.pngGUMP 发表于 2025-3-27 12:57:14
WINMLP: Quantum & Involution Inspire False Positive Reduction in Lung Nodule Detectionave made significant contributions to improving the accuracy. However, it remains a challenge to reduce the False Positive rate while maintaining high sensitivity. In this paper, we propose a novel MLP-based False Positive Reduction network, Wave-Involution MLP. We design a progressive multi-scale f飓风 发表于 2025-3-27 14:38:40
Incorporating Generation Method and Discourse Structure to Event Coreference Resolutionthe structure between paragraphs which is also important to event coreference resolution. Moreover, almost all previous work modeled event coreference resolution as a classification task. In this paper, we introduce macro discourse structure to help event coreference resolution through a Relational逢迎春日 发表于 2025-3-27 18:00:46
http://reply.papertrans.cn/67/6636/663597/663597_36.png密码 发表于 2025-3-27 22:11:03
Spatial and Temporal Guidance for Semi-supervised Video Object Segmentationmemory-based methods have attracted increasing attention with significant performance improvements. However, these methods employ pixel-level matching according to the similarity without considering the trajectory and the feature of the object, which may result in mismatching between the object and分散 发表于 2025-3-28 02:10:17
http://reply.papertrans.cn/67/6636/663597/663597_38.pngGastric 发表于 2025-3-28 07:19:07
http://reply.papertrans.cn/67/6636/663597/663597_39.pngARY 发表于 2025-3-28 10:49:33
Unsupervised Anomaly Segmentation for Brain Lesions Using Dual Semantic-Manifold Reconstructiontecting the anomalies (lesions) by only using the normal samples (healthy anatomies) in the training phase. Existing methods utilize the reconstruction process to model the normative distribution but inevitably lead to the impairment of localization information, which is critical for the pixel-level