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发表于 2025-3-30 12:16:01
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dilute
发表于 2025-3-30 13:40:27
An Unlikely Couple: Fintry and Oldenburging, 2) convolution-based learner for spatial feature extraction, and 3) spiking pointwise convolution for cross-channel information aggregation - with negative spike dynamics incorporated in 1) to enhance frequency representation. The FATM enables the SWformer to outperform vanilla Spiking Transfor
填料
发表于 2025-3-30 19:39:11
Discussion: Who gets what, when, and how?rames randomly in each timestep and use optical flow extracted from the source video to propagate the latent features of the first keyframe to subsequent keyframes. Moreover, we develop a comprehensive zero-shot framework that adapts to this strategy in both the inversion and denoising processes, th
的’
发表于 2025-3-30 23:29:18
Discussion: Who gets what, when, and how?nd disease crop images. We re-evaluate the state-of-the-art detection models with our proposed PDT dataset and CWC dataset, showing the completeness of the dataset and the effectiveness of the YOLO-DP. The proposed PDT dataset, CWC dataset, and YOLO-DP model are presented at ..
obstinate
发表于 2025-3-31 03:02:00
https://doi.org/10.1007/978-3-658-32307-3that use past photon data to disable SPAD pixels in real-time, to select the most informative future photons. As case studies, we design policies tailored for image reconstruction and edge detection, and demonstrate, both via simulations and real SPC captured data, considerable reduction in photon d
翅膀拍动
发表于 2025-3-31 09:03:01
https://doi.org/10.1007/978-3-658-15492-9heory. Finally, to minimize the discrepancy, a COD-based conditional invariant representation learning model is proposed, and the reformulation is derived to show that reasonable modifications on moment statistics can further improve the discriminability of the adaptation model. Extensive experiment
金哥占卜者
发表于 2025-3-31 12:55:50
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constellation
发表于 2025-3-31 14:07:11
https://doi.org/10.1007/978-3-319-58359-4yer attention module is designed to encourage information exchange and learning between layers, while a text-guided intra-layer attention module incorporates layer-specific prompts to direct the specific-content generation for each layer. A layer-specific prompt-enhanced module better captures detai
Blood-Vessels
发表于 2025-3-31 17:42:02
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意外的成功
发表于 2025-3-31 23:23:44
https://doi.org/10.1007/978-3-319-58359-4 high-fidelity novel views while improving the synthesis quality given additional (unposed) images. We evaluate our approach on the Co3Dv2 and Google Scanned Objects datasets and demonstrate the benefits of our method over pose-reliant sparse-view methods as well as single-view methods that cannot l