News

IEEE3d
A design of high-performance pipelined architecture for H.264/AVC CAVLC decoder and low-power implementation
Abstract: In this paper, we propose a highly efficient VLSI architecture for context-based adaptive variable-length coding (CAVLC) decoder. In multimedia data processing systems, the real-time ...
IEEE10d
High-Performance CNN Accelerator on FPGA Using Unified Winograd-GEMM Architecture
This approach leads to efficient utilization of FPGA hardware resources while computing all layers in the CNN. The proposed architecture shows performance improvement in the range of $1.4\times $ to ...
IEEE12d
Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture
Abstract: Scaling up Artificial Intelligence (AI) algorithms for massive datasets to improve their performance is becoming crucial. In Machine Translation (MT), one of most important research fields ...
IEEE16d
Waste Image Segmentation Using Convolutional Neural Network Encoder-Decoder with SegNet Architecture
In this paper, we propose a waste segmentation method using Convolutional Neural Network based on the Encoder-Decoder approach of SegNet architecture [5]. We compare two different setups of the ...
IEEE17d
Automatic Breast Tumor Cancer Diagnosis Based on a Hybrid Densenet
Abstract: The breast cancer based image classification and division is proposed by utilizing a Deep learning (DL) technique. A few DL models is used to classify Mammographic information to forecast ...
IEEE18d
Low-Complexity Architecture for High-Speed 50G-PON LDPC Decoder
Abstract: We propose a hardware architecture for 50G-PON LDPC decoder achieving high throughput and high error correcting capability while maintaining low level of ...
IEEE19d
Layer-Wise Mixed-Modes CNN Processing Architecture With Double-Stationary Dataflow and Dimension-Reshape Strategy
Abstract: With the development of convolutional neural networks (CNN) across various domains ... based logic synthesis applied in the architecture of TPU. The proposed 3D-TE, characterized by its ...
IEEE21d
O-SegNet: Robust Encoder and Decoder Architecture for Objects Segmentation From Aerial Imagery Data
We introduce O-SegNet- the robust encoder and decoder architecture for objects segmentation from high-resolution aerial imagery data to address this challenge. The proposed O-SegNet architecture ...
IEEE22d
CNN-JEPA: Self-Supervised Pretraining Convolutional Neural Networks Using Joint Embedding Predictive Architecture
a novel SSL method that successfully applies the joint embedding predictive architecture approach to CNN s. Our method incorporates a sparse CNN encoder to handle masked inputs, a fully convolutional ...
IEEE24d
A Novel Hybrid Architecture With Fast Lightweight Encoder and Transformer Under Attention Fusion for the Enhancement of Sand Dust and Haze Image Restoration
While Encoder-Decoder-based neural networks have shown noticeable improvements ... and refined details. We propose a novel hybrid architecture that combines depth-wise local feature extraction using ...
IEEE25d
DT-VNet: Deep Transformer-based VNet Framework for 3D Prostate MRI Segmentation
To address these challenges, we propose a Deep Transformer-based Vnet framework (DT-VNet), which consists of a symmetric encoder-decoder architecture that explores global contextual features and ...