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Adverse weather conditions, such as rain, fog, and snow, degrade visual information, posing significant challenges for image restoration frameworks that adapt across diverse scenarios. Unified models
Unsupervised cross-modal hashing (UCMH) has attracted considerable attention owing to its minimal reliance on manual annotations and low retrieval latency. However, existing UCMH methods based on cont
Knowledge distillation (KD) has become a pivotal technique for transferring knowledge from large-scale teacher models to lightweight student models. However, traditional feature-based distillation met
Temporal Action Detection (TAD) in untrimmed videos requires effective spatial feature extraction for precise action classification and temporal feature modeling for accurate boundary localization. To
Spiking neural networks (SNNs) have garnered significant attention in reinforcement learning tasks for their low power consumption. However, traditional spiking reinforcement learning (SRL) methods, w
Transformers have shown great promise in various point cloud comprehension tasks, but still face challenges due to the quadratic computational and memory cost when dealing with large-scale 3D point cl
Text screen content images (TSCIs) have been extensively applied in multimedia applications. When a TSCI is compressed by an encoder, the reconstructed image often exhibits changes of text stroke stru
Camouflaged object detection segments objects with intrinsic similarity and edge disruption. Current detection methods rely on accumulated complex components. Each approach adds components such as bou
Multi-modal clustering aims to integrate complementary information from different modalities to uncover latent consistent structures and improve clustering performance. However, existing methods mainl
Generating motion sequences conforming to a target style while adhering to the given content prompts requires accommodating both the content and style. In existing methods, the information usually onl
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The IEEE Signal Processing Society is dedicated to supporting the professional growth and career advancement of its members in the dynamic field of signal processing. Learn More
Signal processing education and professional development program for all career levels. Learn more.