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Book Synopsis

Anchor STARK: Query Design for Transformer-Based Target Tracking.- DACG-Net: A Dual Attention and Classifier Guided Network for Low-Light Image Enhancement.- Improved Aggregated Contextual Transformations Based on U-Net for Image Inpainting.- Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning.- A Novel Data Synthesis Method by Integration of Diffusion Model and GAN for Object Detection Task.- MOSSE-YOLOv8: A Two-Stage Approach for Small-Target Arc Detection in High-Speed Railways.- SAM-FL:Enhanced Generalizable Medical Image Segmentation via Sharpness-Aware Minimization and Focal Loss.- CP2PNet: A General End-to-End Framework for Plant Organs Counting and Phenological Stage Prediction.- Hierarchical Prompt-Enhanced Image Generation Using Hyperbolic Space.- Efficient Conditional Diffusion Model for Accurate Pedestrian
Trajectory Prediction.- MonoViM: Enhancing Self-supervised Monocular Depth Estimation via Mamba.- An End-to-End rPPG-Based Face Anti-Spoofing Network with Deception Enhancement Module.- Region-Aware Instruction-Guided Image Editing with Attention-Weighted Feature Fusion.- Multi-view Self-supervised 3D Human Pose and Shape Estimation on SMPL.- WT-based Feature Enhancement Network for Camouflaged Object Detection.- Multi-Headed Graph-based Attention aided U-Net Model for Nuclei Segmentation.- Research and Implementation of Fine-Grained Bird Image Classification.- LSC-YOLO: Small Target Defects Detection Model for Wind Turbine Blade based on YOLOv9.- SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models.- Leveraging local similarity for token merging in Vision Transformers.- Semi-Supervised Domain Adaptation for All Weather Point Cloud Semantic Segmentation.- Federated Learning for Blind Image Super-Resolution.- Towards Better Text-to-Image Generation Alignment via Attention Modulation.- CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning.- AMSA-UNet: An Asymmetric Multiple Scales U-net Based on Self-attention for Deblurring.- MT-Net: A Dual-Encoder Multiscale Medical Segmentation Model.- ENHANCING ADVERSARIAL ROBUSTNESS OF DIFFUSION DENOISED SMOOTHING VIA IMAGE SUPER-RESOLUTION.- A simultaneous hierarchical count data clustering and feature selection based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework.

Neural Information Processing

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    A Paperback by Mufti Mahmud

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      View other formats and editions of Neural Information Processing by Mufti Mahmud

      Publisher: Springer
      Publication Date: 20/07/2025
      ISBN13: 9789819666874, 978-9819666874
      ISBN10:
      Also in:
      Pattern recognition

      Description

      Book Synopsis

      Anchor STARK: Query Design for Transformer-Based Target Tracking.- DACG-Net: A Dual Attention and Classifier Guided Network for Low-Light Image Enhancement.- Improved Aggregated Contextual Transformations Based on U-Net for Image Inpainting.- Mitigating Vanishing Activations in Deep CapsNets Using Channel Pruning.- A Novel Data Synthesis Method by Integration of Diffusion Model and GAN for Object Detection Task.- MOSSE-YOLOv8: A Two-Stage Approach for Small-Target Arc Detection in High-Speed Railways.- SAM-FL:Enhanced Generalizable Medical Image Segmentation via Sharpness-Aware Minimization and Focal Loss.- CP2PNet: A General End-to-End Framework for Plant Organs Counting and Phenological Stage Prediction.- Hierarchical Prompt-Enhanced Image Generation Using Hyperbolic Space.- Efficient Conditional Diffusion Model for Accurate Pedestrian
      Trajectory Prediction.- MonoViM: Enhancing Self-supervised Monocular Depth Estimation via Mamba.- An End-to-End rPPG-Based Face Anti-Spoofing Network with Deception Enhancement Module.- Region-Aware Instruction-Guided Image Editing with Attention-Weighted Feature Fusion.- Multi-view Self-supervised 3D Human Pose and Shape Estimation on SMPL.- WT-based Feature Enhancement Network for Camouflaged Object Detection.- Multi-Headed Graph-based Attention aided U-Net Model for Nuclei Segmentation.- Research and Implementation of Fine-Grained Bird Image Classification.- LSC-YOLO: Small Target Defects Detection Model for Wind Turbine Blade based on YOLOv9.- SAU: A Dual-Branch Network to Enhance Long-Tailed Recognition via Generative Models.- Leveraging local similarity for token merging in Vision Transformers.- Semi-Supervised Domain Adaptation for All Weather Point Cloud Semantic Segmentation.- Federated Learning for Blind Image Super-Resolution.- Towards Better Text-to-Image Generation Alignment via Attention Modulation.- CLOFAI: A Dataset of Real And Fake Image Classification Tasks for Continual Learning.- AMSA-UNet: An Asymmetric Multiple Scales U-net Based on Self-attention for Deblurring.- MT-Net: A Dual-Encoder Multiscale Medical Segmentation Model.- ENHANCING ADVERSARIAL ROBUSTNESS OF DIFFUSION DENOISED SMOOTHING VIA IMAGE SUPER-RESOLUTION.- A simultaneous hierarchical count data clustering and feature selection based on Multinomial Nested Dirichlet Mixture using the Minorization-Maximization framework.

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