Titlebook: Advanced Intelligent Computing Technology and Applications; 20th International C De-Shuang Huang,Yijie Pan,Jiayang Guo Conference proceedin

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Controlling Attention Map Better for Text-Guided Image Editing Diffusion Modelsdomains, there exists a lack of a unified method that integrates different editing approaches. This absence impedes users from choosing an algorithm that best suits their needs. To address this, we propose a convergent attention map modification framework. This framework seamlessly integrates variou

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Enhancing Adversarial Robustness for Deep Metric Learning via Attention-Aware Knowledge GuidanceKG with popular adversarial robustness methods. Experiment evaluations on three benchmark databases demonstrate that our proposed attention-aware knowledge guidance for deep metric learning significantly outperforms state-of-the-art defenses in terms of both adversarial robustness and benign perform

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IMFA-Stereo: Domain Generalized Stereo Matching via Iterative Multimodal Feature Aggregation Cost Vofine the initial disparity estimation and consolidate the aggregated cost volume, resulting in an accurate disparity map. Comprehensive experiments demonstrate that IMFA-Stereo achieves state-of-the-art stereo matching performance and excels in cross-domain generalization when trained on Scene Flow

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DSMENet: A Road Segmentation Network Based on Dual-Branch Dynamic Snake Convolutional Encoding and Mich are then input into the decoder for spatial resolution restoration. Finally, a multi-modal information iterative enhancement module is embedded at the end of the network to fully exploit spatial detail features of original multi-modal data and enhance the features at the end of the de-coder, the