Description

.- Computer Vision: Anomaly Detection.
.- Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization.
.- Computer Vision: Segmentation.
.- DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation.
.- Integrating Audio-Visual Contexts with Refinement for Segmentation.
.- Loci-Segmented: Improving Scene Segmentation Learning.
.- Large Language Model for Action Anticipation.
.- MFPNet: A Multi-scale Feature Propagation Network for Lightweight Semantic Segmentation.
.- Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-view Framework.
.- Computer Vision: Pose Estimation and Tracking.
.- DT2S-Pose: A Deeper Temporal-Spatial Skeleton Refine Model for Pedestrian Pose Estimation. 
.- DTG: Learning A Dynamic Token Graph for 3D Pose Forecasting.
.- Dual-Branch Network with Online Knowledge Distillation for 3D Hand Pose Estimation.
.- MovePose: A High-performance Human P

Artificial Neural Networks and Machine Learning ICANN 2024

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Paperback by Michael Wand

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Short Description:

.- Computer Vision: Anomaly Detection..- Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization..- Computer Vision: Segmentation..- DGFormer: A... Read more

    Publisher: Springer
    Publication Date: 9/17/2024
    ISBN13: 9783031723377, 978-3031723377
    ISBN10: 3031723376

    Non Fiction , Computing

    Description

    .- Computer Vision: Anomaly Detection.
    .- Hybrid Encoder for Anomaly Detection Based on Latent Feature Regularization.
    .- Computer Vision: Segmentation.
    .- DGFormer: A Dynamic Kernel with Gaussian Fusion Transformer for Semantic Image Segmentation.
    .- Integrating Audio-Visual Contexts with Refinement for Segmentation.
    .- Loci-Segmented: Improving Scene Segmentation Learning.
    .- Large Language Model for Action Anticipation.
    .- MFPNet: A Multi-scale Feature Propagation Network for Lightweight Semantic Segmentation.
    .- Weakly-Supervised Semantic Segmentation via Label Re-assignment in Dual-view Framework.
    .- Computer Vision: Pose Estimation and Tracking.
    .- DT2S-Pose: A Deeper Temporal-Spatial Skeleton Refine Model for Pedestrian Pose Estimation. 
    .- DTG: Learning A Dynamic Token Graph for 3D Pose Forecasting.
    .- Dual-Branch Network with Online Knowledge Distillation for 3D Hand Pose Estimation.
    .- MovePose: A High-performance Human P

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