audio upsampler
音频上采样器
video upsampler
视频上采样器
the upsampler
上采样器
upsampler module
上采样器模块
upsampler circuit
上采样器电路
digital upsampler
数字上采样器
upsampler algorithm
上采样算法
neural networks use upsamplers to increase the spatial resolution of feature maps.
神经网络使用上采样器来增加特征图的空间分辨率。
the image processing pipeline includes a convolutional upsampler for upscaling.
图像处理流水线包括用于上采样的卷积上采样器。
our model employs a learned upsampler to reconstruct high-resolution outputs.
我们的模型使用学习型上采样器来重建高分辨率输出。
the upsampler block transforms low-resolution features into dense representations.
上采样器块将低分辨率特征转换为密集表示。
transposed convolution is commonly used as an upsampler in deep learning architectures.
转置卷积通常用作深度学习架构中的上采样器。
the upsampler layer doubles the spatial dimensions of the input tensor.
上采样器层的空间维度翻倍。
training the upsampler requires balancing reconstruction quality and computational efficiency.
训练上采样器需要平衡重建质量和计算效率。
the sub-pixel upsampler achieves high-resolution output through efficient channel rearrangement.
子像素上采样器通过高效的通道重排实现高分辨率输出。
adaptive upsamplers can learn task-specific upscaling kernels.
自适应上采样器可以学习特定任务的上采样核。
the residual upsampler architecture preserves fine details during upscaling.
残差上采样器架构在上采样过程中保留精细细节。
the depth-to-space upsampler rearranges channel data into spatial dimensions.
深度转空间上采样器将通道数据重新排列为空间维度。
our upsampler implementation reduces artifacts in generated images.
我们的上采样器实现减少了生成图像中的伪影。
audio upsampler
音频上采样器
video upsampler
视频上采样器
the upsampler
上采样器
upsampler module
上采样器模块
upsampler circuit
上采样器电路
digital upsampler
数字上采样器
upsampler algorithm
上采样算法
neural networks use upsamplers to increase the spatial resolution of feature maps.
神经网络使用上采样器来增加特征图的空间分辨率。
the image processing pipeline includes a convolutional upsampler for upscaling.
图像处理流水线包括用于上采样的卷积上采样器。
our model employs a learned upsampler to reconstruct high-resolution outputs.
我们的模型使用学习型上采样器来重建高分辨率输出。
the upsampler block transforms low-resolution features into dense representations.
上采样器块将低分辨率特征转换为密集表示。
transposed convolution is commonly used as an upsampler in deep learning architectures.
转置卷积通常用作深度学习架构中的上采样器。
the upsampler layer doubles the spatial dimensions of the input tensor.
上采样器层的空间维度翻倍。
training the upsampler requires balancing reconstruction quality and computational efficiency.
训练上采样器需要平衡重建质量和计算效率。
the sub-pixel upsampler achieves high-resolution output through efficient channel rearrangement.
子像素上采样器通过高效的通道重排实现高分辨率输出。
adaptive upsamplers can learn task-specific upscaling kernels.
自适应上采样器可以学习特定任务的上采样核。
the residual upsampler architecture preserves fine details during upscaling.
残差上采样器架构在上采样过程中保留精细细节。
the depth-to-space upsampler rearranges channel data into spatial dimensions.
深度转空间上采样器将通道数据重新排列为空间维度。
our upsampler implementation reduces artifacts in generated images.
我们的上采样器实现减少了生成图像中的伪影。
探索常用高频词汇