Compared to traditional models for processing temporal signals such as RNN, GRU, and Transformer, the proposed TCN offer superior parallel processing capabilities. All convolutional operations can be ...

In this study, a novel encoder-decoder network is proposed to segment the ODs automatically and accurately. The encoder consists of three parts: (1) A low-level feature extraction module composed of ...

Fix loading of LeViT safetensor weights, remove conversion code which should have been deactivated Add 'SO150M' ViT weights trained with SBB recipes, decent results, but not optimal shape for ImageNet ...

265 combined multi-standard video decoder IP, optimally designed with streamlined single-CORE to support 4Kp60. In recent days, the HEVC/H.265 ... Embrace the future of digital media with Arasan's ...

To address this limitation, we propose the Cross-Attention Multi-Scale Performer (XMP) model, which integrates the attention mechanisms of transformer encoders with the feature extraction capabilities ...

of decoder-only transformer models. LeanAttention enables scaling the attention mechanism implementation for the challenging case of long context lengths by re-designing the execution flow for the ...

Figure 1: Overall architecture of Polyper. We use the Swin-T from Swin Transformer as the encoder. The decoder is divided into two main stages. The first potential boundary extraction (PBE) stage aims ...