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Found 5 papers, 2 papers with code
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding
While Large Language Models (LLMs) have shown remarkable abilities, they are hindered by significant resource consumption and considerable latency due to autoregressive processing.
Dynamic Resolution Guidance for Facial Expression Recognition
Facial expression recognition (FER) is vital for human-computer interaction and emotion analysis, yet recognizing expressions in low-resolution images remains challenging.
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation
In this work, we propose PMFSNet, a novel medical imaging segmentation model that effectively balances global and local feature processing while avoiding the computational redundancy typical in larger models.
Full-Resolution Encoder-Decoder Networks with Multi-Scale Feature Fusion for Human Pose Estimation
To achieve more accurate 2D human pose estimation, we extend the successful encoder-decoder network, simple baseline network (SBN), in three ways.
Efficient Human Pose Estimation with Depthwise Separable Convolution and Person Centroid Guided Joint Grouping
Two branches of sub-networks are used to predict the centroids, body joints and their offsets to their parent nodes.
