Abstract: In real-world scenarios with predominant dynamic objects, achieving robust and accurate positioning using Visualinertial navigation systems (VINS) poses a challenge because these objects ...

Abstract: To more effectively address the computational and memory requirements of deep neural networks (DNNs), leveraging multi-level sparsity-including value-level and bit-level sparsity-has emerged ...

Abstract: Image quality assessment (IQA) plays a fundamental role in evaluating image processing. Currently, JPEG AIC specifies the IQA methods, dividing them into three levels: AIC-1, 2, and 3. AIC-1 ...

Abstract: Hierarchical federated learning (HFL) is a privacy-preserving distributed machine learning framework with a client-edge-cloud hierarchy, where multiple edge servers perform partial model ...

LOS ANGELES (KABC) -- Nick Reiner is charged with two counts of first-degree murder in the stabbing deaths of his parents, Hollywood actor and director Rob Reiner and his wife Michele Singer Reiner.

Abstract: This paper proposes an end-to-end video saliency prediction network model, termed TM2SP-Net (Transformer-based Multi-level Spatiotemporal Feature Pyramid Network). Leveraging the strong ...

Abstract: Deep subspace clustering methods based on autoencoder (AE) have achieved impressive performance in various applications. However, these methods often place excessive reliance on the AE ...

Abstract: Compositional Zero-Shot Learning (CZSL) aims to recognize unseen attribute-object compositions by leveraging prior knowledge of known primitives. However, real-world visual features of ...

Multi-sensor fusion is a key technology in the field of autonomous driving and robotics. Traditional offline multi-sensor fusion calibration methods rely on manual operations and fail to meet ...

K1 Speed Culver City reimagines the thrill of indoor go-karting. The main attraction is the state-of-the-art, multi-level track, a first for the region. Drivers will navigate challenging hairpin turns ...