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Found 5 papers, 1 papers with code
CREST: Cross-modal Resonance through Evidential Deep Learning for Enhanced Zero-Shot Learning
Zero-shot learning (ZSL) enables the recognition of novel classes by leveraging semantic knowledge transfer from known to unknown categories.
UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web
To answer the questions, we leverage the power of Large Language Models (LLMs) and introduce the first-ever LLM-enhanced framework that integrates the knowledge of textual modality into urban imagery profiling, named LLM-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining (UrbanCLIP).
Dense Voxel 3D Reconstruction Using a Monocular Event Camera
Our preliminary results demonstrate that the proposed method can produce visually distinguishable dense 3D reconstructions directly without requiring pipelines like those used by existing methods.
Advancements in Repetitive Action Counting: Joint-Based PoseRAC Model With Improved Performance
Repetitive counting (RepCount) is critical in various applications, such as fitness tracking and rehabilitation.
Attention-Based Sensor Fusion for Human Activity Recognition Using IMU Signals
Secondly, an attention-based fusion mechanism is developed to learn the importance of sensors at different body locations and to generate an attentive feature representation.
