小争吵
发表于 2025-3-26 23:00:27
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抛弃的货物
发表于 2025-3-27 03:25:42
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syring
发表于 2025-3-27 08:10:35
Affective Prior Topology Graph Guided Facial Expression Recognitionly concentrated on emotion classification or sentiment levels, disregarding the crucial dependencies between these factors that are vital for perceiving human emotions. To address this problem, we propose a novel affective priori topology graph network (AptGATs). AptGATs explicitly captures the topo
VEIL
发表于 2025-3-27 12:21:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/188172.jpg
lattice
发表于 2025-3-27 17:40:56
Gilles Barthe,Benjamin Grégoire,Colin Ribaistration methods need sufficient amount of labeled fingerprint pairs which are difficult to obtain. In addition, the training data itself may not include enough variety of fingerprints thus limit such methods’ performance. In this work, we propose an unsupervised end-to-end framework for fingerprin
staging
发表于 2025-3-27 18:34:07
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Overdose
发表于 2025-3-28 00:00:17
More on Generalized Derivatives,mprint recognition methods focus only feature representation and matching under an assumption that palmprint images are high-quality, while practical palmprint images are usually captured by various cameras under diverse backgrounds, heavily reducing the quality of palmprint images. To address this,
分发
发表于 2025-3-28 05:22:44
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Orgasm
发表于 2025-3-28 07:05:22
https://doi.org/10.1057/978-1-137-58746-6ly, many existing methods have shown relatively satisfying performance, but there are still several problems such as the limited patterns extracted by single feature extraction approach and the huge gap between hand-crafted feature-based approaches and deep learning feature-based approaches. To this
DEFER
发表于 2025-3-28 12:44:36
Open-ended Procedural Semanticscies in finger vein (FV) recognition, there still remain some unresolved issues, including high model complexity and memory cost, as well as insufficient training samples. To address these issues, we propose an unsupervised spiking neural network for finger vein recognition (hereinafter dubbed ‘FV-S