We evaluated our model on the CBIS-DDSM dataset for conducting segmentation tasks, and the results demonstrate that our model RGC-ASPP-Net outperforms PSPNet , DeepLabV3+ , AUnet and ASPP-FC-DenseNet by a large margin in terms of segmentation performance....
As a result, a decimate down-sampling approach is employed to lower the frame rate of the cardiac audio sound stream while maintaining its efficiency [5]. Using an 8 × 8 low pass filter, the downsampling technique transforms a 50 kHz sampling frame rate to an 800 Hz sound signal ...
Yu L, Tian L, Du Q, Bhutto JA Multi-stream adaptive spatial-temporal attention graph convolutional network for skeleton-based action recognition. IET Comput Vis. https://doi.org/10.1049/cvi2.12075 Defferrard M, Bresson X, Vandergheynst P (2016) Convolutional neural networks on graphs with fast...
M-Net: a novel U-Net with multi-stream feature fusion and multi-scale dilated convolutions for bile ducts and hepatolith segmentation IEEE Access (2019)View more references Cited by (26) TranSiam: Aggregating multi-modal visual features with locality for medical image segmentation 2024, Expert ...
FFmpeg - A complete, cross-platform solution to record, convert and stream audio and video. [LGPL2/GPL2] libde265 - Open h.265 video codec implementation. [LGPL] website x265 - Open h.265 video codec implementation. [GPL2] website OpenH264 - Open Source H.264 Codec. [BSD] website...
In this paper, a novel graph neural networks based multi-granularity feature representation learning framework is presented for FGVC, which boosts feature learning of different grain levels simultaneously and enhances multiple granularity categorization. Under this framework, we propose two kinds of ...
generative-adversarial-networkganstyle-transferimage-manipulationimage-generationversatilemulti-modalfeature-transformationimage-to-image-translationmulti-scaletwo-stream-networkssemantic-image-synthesiseccv2020 UpdatedJul 25, 2024 Python d-li14/PSConv Star174 ...
2022TIMReal-time One-stream Semantic-guided Refinement Network for RGB-Thermal Salient Object Detection Fushuo Huo, Xuegui Zhu, Qian Zhang, Ziming Liu, Wenchao YuPaper/Code 2022TIPWeakly Alignment-free RGBT Salient Object Detection with Deep Correlation Network ...
We present a novel density-aware multi-stream densely connected convolutional neural network-based algorithm, called DID-MDN, for joint rain density estimation and de-raining. The proposed method enables the network itself to automatically determine the rain-density information and then efficiently remove...
Neural network definitionAnyStreamReaderWhen you selectCustom definition script, type a valid script expression on each line to define the layers, nodes, and behavior of a custom neural network The type of normalizerListNormalization MethodMinimum-maximum normalizerSelect the type of normalization to app...