Occlusion
发表于 2025-3-28 15:29:03
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cajole
发表于 2025-3-28 22:28:36
Survival Effect of Internet Macroscopic Topology Evolutionripping goes deeper and deeper, the self-replicating capacity of IPv4 is weakened from the outer layer to the inner layer, but is not affected in IPv6. The changes of the dead rate and the average path length in IPv6 are more active than those in IPv4, and the propagation rate in IPv6 is faster than
ALLEY
发表于 2025-3-28 23:04:26
The Method for Image Noise Detection Based on the Amount of Knowledge Associated with Intuitionisticy. The noise pixels are detected with a noise membership function constructed by the average intensity of foreground background and each pixel value of noisy images, and removed with the iterative mean filter (IMF). By experiment, we use such performance metrics as Peak Signal-to-Noise Ratio (PSNR),
鸟笼
发表于 2025-3-29 03:14:28
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改革运动
发表于 2025-3-29 07:32:28
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肉体
发表于 2025-3-29 13:22:58
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Guaff豪情痛饮
发表于 2025-3-29 18:15:34
Memory Attentive Cognitive Diagnosis for Student Performance Prediction with the process of solving exercises. Moreover, MACD replaces the multi fully connected layers with multi-heads attention layers to consider the relationship between the current exercise and the past exercises. We conduct experiments on several real-world datasets and the experimental results show
BIDE
发表于 2025-3-29 20:25:54
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jet-lag
发表于 2025-3-30 03:28:00
MRRVOS: Modular Refinement Referring Video Object Segmentations a joint problem of referring object segmentation in the image and mask propagation in the video. (2) Image caption module: using recurrent neural networks (RNNs), and deep convolutional neural network (CNN) to encode every frame except the first frame, and a Long Short Term Memory (LSTM) RNN decod
追逐
发表于 2025-3-30 07:32:24
MRRVOS: Modular Refinement Referring Video Object Segmentations a joint problem of referring object segmentation in the image and mask propagation in the video. (2) Image caption module: using recurrent neural networks (RNNs), and deep convolutional neural network (CNN) to encode every frame except the first frame, and a Long Short Term Memory (LSTM) RNN decod