{"product_id":"computational-visual-media-9789819658084","title":"Computational Visual Media","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003eMedical Image Analysis\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eAGTCNet: Hybrid Network Based on AGT and Curvature Information for Skin Lesion Detection.- \u003cspan style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eAmong General Spine Segmentation with Multi-scale and Discriminate Feature Fusion.- SSCL: A Spatial-Spectral and Commonality Learning Network for Semi-Supervised Medical Image Segmentation.- A Multiscale Edge-Guided Polynomial Approximation Network for Medical Image Segmentation.- HIFNet: Medical Image Segmentation Network Utilizing Hierarchical Attention Feature Fusion.- Ynet: medical image segmentation model based on wavelet transform boundary enhancement.- An Effective Algorithm for Skin Disease Segmentation Combining inter-channel Features and Spatial Feature Enhancement.- \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDetection and Recognition\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eA Comprehensive Framework for Fine-Grained Object Recognition in Remote Sensing.- \u003cspan style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eTowards Reflected Object Detection: A Benchmark.- Consensus-aware Balance Learning for Sexually Suggestive Video Classification.- LightStar-Net: A Pseudo-Raw Space Enhancement for Efficient Low-Light Object Detection.- DASSF: Dynamic-Attention Scale-Sequence Fusion for Aerial Object Detection.- \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eImage Enhancement and Generation\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eDegradation-Aware Frequency-Separated Transformer for Blind Super-Resolution.- \u003cspan style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eMAAU-UIE : Multiple Attention Aggregation U-Net for Underwater Image Enhancement.- MANet-CycleGAN: An Unsupervised LDCT Image Denoising Method Based on Channel Attention and Multi-Scale Features.- M\u003csup\u003e3\u003c\/sup\u003e: Manipulation Mask Manufacturer for Arbitrary-Scale Super-Resolution Mask.- Agent-Conditioned Multi-Contrast MRI Super-Resolution for Cross-Subject.- \u003c\/span\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eVision Modeling in Complex Scenarios\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eSEA-Net: A Severity-Aware Network with Visual Prompt Tuning for Underwater Semantic Segmentation.- \u003cspan style=\"font-size: 10.5pt; font-family: 'Calibri',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: DengXian; mso-fareast-theme-font: minor-fareast; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003eLAGNet: A Location-Aware Guidance Network for Weak and Strip Defect Detection.- Weighted Spatiotemporal Feature and Multi-task Learning for Masked Facial Expression Recognition.- MBGNet\u003cspan lang=\"ZH-CN\" style=\"font-size: 10.5pt; font-family: DengXian; mso-ascii-font-family: Calibri; mso-ascii-theme-font: minor-latin; mso-fareast-theme-font: minor-fareast; mso-hansi-font-family: Calibri; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: Arial; mso-bidi-theme-font: minor-bidi; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;\"\u003e:\u003c\/span\u003eMamba-Based Boundary-Guided Multimodal Medical Image Segmentation Network.- MSD: A Mask-Guided\u003cspan style=\"mso-spacerun: yes;\"\u003e  \u003c\/span\u003eand Semantic-Guided Diffusion-based Framework for Stone Surface Defect Detection.- A New Heterogeneous Mixture of Experts Model for Deepfake Detection.\u003c\/span\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":51047507657047,"sku":"9789819658084","price":66.49,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/computational-visual-media-9789819658084","provider":"Book Curl","version":"1.0","type":"link"}