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· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 그래픽
· ISBN : 9783031533044
· 쪽수 : 505쪽
· 출판일 : 2024-01-28
목차
Where are Biases? Adversarial Debiasing with Spurious Feature?Visualization.-?Cross-Modal Hash Retrieval with Category Semantics.-?Spatiotemporal Representation Enhanced ViT for Video Recognition.-?SCFormer: A Vision Transformer with Split Channel in Sitting Posture?Recognition.-?Dive into Coarse-to-Fine Strategy in Single Image Deblurring.-?TICondition: Expanding Control Capabilities for Text-to-Image?Generation with Multi-Modal Conditions.-?Enhancing Generative Generalized Zero Shot Learning via Multi-Space?Constraints and Adapative Integration.-?Joint Image Data Hiding and Rate-Distortion Optimization in Neural?Compressed Latent Representations.-?GSUNet: A Brain Tumor Segmentation Method Based On 3D Ghost?Shuffle U-Net.-?ACT: Action-associated and Target-related Representations for Object?Navigation.-?Foreground Feature Enhancement and Peak & Background Suppression?for Fine-Grained Visual Classification.-?YOLOv5-SRR: Enhancing YOLOv5 for Effective Underwater Target Detection.-?Image Clustering and Generation with HDGMVAE-I.-?"Car or Bus?" CLearSeg: CLIP-enhanced Discrimination among?Resembling Classes for Few-Shot Semantic Segmentation.-?PANDA: Prompt-based Context- and Indoor-aware Pretraining for Vision and Language Navigation.-?Cross-Modal Semantic Alignment Learning for Text-based Person Search.-?Point Cloud Classification via Learnable Memory Bank.-?Adversarially Regularized Low-Light Image Enhancement.-?Advancing Incremental Few-shot Semantic Segmentation via?Semantic-guided Relation Alignment and Adaptation.-?PMGCN:Preserving measuring mapping prototype graph calibration?network for few-shot learning.-?ARE-CAM: An interpretable approach to quantitatively evaluating the?adversarial robustness of deep models based on CAM.-?SSK-Yolo:Global feature-driven small object detection network for images.-?MetaVSR: A Novel Approach to Video Super-Resolution for Arbitrary Magnification.-?From Skulls to Faces: A Deep Generative Framework for Realistic 3D Craniofacial Reconstruction.-?Structure-aware Adaptive Hybrid Interaction Modeling for Image-Text?Matching.-?Using Saliency and Cropping to Improve Video Memorability.-?Contextual Augmentation with Bias Adaptive for Few-shot VideoObject Segmentation.-?A lightweight local attention network for image super resolution.-?Domain Adaptation for Speaker Verification Based on Self-SupervisedLearning with Adversarial Training.-?Quality Scalable Video Coding based on Neural Representation.-?Hierarchical Bi-Directional Temporal Context Mining for ImprovedVideo Compression.-?MAMixer: Multivariate Time Series Forecasting via Multi-Axis Mixing.-?A Custom GAN-based Robust Algorithm for Medical Image Watermarking.-?A Detail-guided Multi-source Fusion Network for Remote Sensing?Object Detection.-?A Secure and Fair Federated Learning Protocol under the Universal?Composability Framework.-?Bi-directional Interaction and Dense Aggregation Network for RGB-D Salient Object Detection.-?Face Forgery Detection via Texture and Saliency Enhancement.














