UG-HRNet: a lightweight pose estimation network with unified guidance deformable convolution

CL-HPE: enhancing human pose estimation via lightweight structural attention mechanisms

CL-HPE is presented, a lightweight framework for competitive and efficient pose estimation that provides a practical solution in resource-constrained environments and suggests a favorable accuracy–efficiency trade-off among lightweight pose estimators.

MFA-Pose: Human Pose Estimation with Multi-Scale Context Fusion and Adaptive Gated Upsampling for Industrial Surveillance

This paper proposes MFA-Pose, an improved YOLO11s-Pose framework that enhances contextual representation and cross-scale feature reconstruction that provides a favorable balance between pose estimation accuracy and model complexity for industrial surveillance applications.

Lightweight Multimodal BEV Object Detection via Dynamic Gating and Sparse Deformable Fusion

CPANet: CSP-Based Dual-Branch Convolutional Attention Network for Human Pose Estimation

DiMMPose: A Diffusion-Mamba Hybrid Framework with Multi-Prompt for Efficient and Robust 3D Human Pose Estimation

DiMMPose is proposed, a diffusion-based framework enhanced by Mamba’s state-space model for robust and efficient 3D pose estimation, which combines structured prompts encoded by LongCLIP with learnable prompt representations to provide anatomical and motion-related guidance during denoising.

HGNetV2-YOLO: An Efficient and Lightweight Framework for Mechanical Component Detection in Industrial Scenes

A lightweight YOLO-style detector that integrates a PP-HGNetV2 tiny backbone, an enhanced normalization-based attention module (ImNAM), and an improved complete intersection-over-union loss (ImCIoU) shows strong potential for intelligent industrial inspection on resource-constrained platforms, subject to further hardwa...