EXPEL
发表于 2025-3-26 21:41:50
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战役
发表于 2025-3-27 04:53:44
https://doi.org/10.1007/978-1-4613-1755-5of class-imbalance, we propose a balanced loss function, in which the loss of each category is weighted by a factor determined by both the actual sample size and effective sample size of this category. Experimental results on three benchmark ME databases demonstrate the superiority of our approach o
形状
发表于 2025-3-27 08:15:25
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在前面
发表于 2025-3-27 10:55:18
the reinforcement learning policy network. We conduct experiments on the ConvRef dataset, consisting of 11k naturally occurring dialogues, and compare our method with state-of-the-art baselines. The results demonstrate that our approach effectively generates more accurate inference paths from user-a
不妥协
发表于 2025-3-27 15:52:00
ction fostering greater public absorption of historical and cultural content, thus expanding the potential applications of digital humans. In conclusion, digital human technology is poised to offer a novel and efficient technological means for cultural communication, injecting new possibilities into
Slit-Lamp
发表于 2025-3-27 18:33:23
RAUNE-Net: A Residual and Attention-Driven Underwater Image Enhancement Methodns. The experimental validation demonstrates that our method obtains promising objective performance and consistent visual results across various real-world underwater images compared to other eight UIE methods. Our example code and datasets are publicly available at ..
tendinitis
发表于 2025-3-27 22:35:36
Depth Map Super-Resolution via Asymmetrically Guided Feature Selection and Spatial Affine Transformahensively integrate the information from RGB modal, are then employed to reconstruct high-resolution depth maps. In other words, The asymmetry is reflected in the fact that we only explicitly update the depth features. The effectiveness of our approach is demonstrated through quantitative and qualit
向外供接触
发表于 2025-3-28 05:28:19
Wide Activation Fourier Channel Attention Network for Super-Resolutionourier channel attention super-resolution network (WFCASR) to enhance the residual block by incorporating the wide activation mechanism and FCA. Results in the development of. By integrating the FCA block and the wide activation mechanism into our network, the high-frequency information can be effec
STAT
发表于 2025-3-28 06:46:58
LightNet+: Boosted Light-Weighted Network for Smoke Semantic Segmentation a novel Attention-guided Coupled Feature Fusion Module (ACFFM) that introduces Self-Refinement Coefficients (SRCs) generated from cross-layer fusion to weight the original layer images. This two-stage fusion approach effectively utilizes information from different scales to alleviate the impact of
狗窝
发表于 2025-3-28 13:50:04
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