semantic features
Semantic features refer to attributes of data that convey meaning, often derived from natural language processing or image analysis. These features are crucial for tasks such as sentiment analysis, where understanding the underlying intent or meaning of the content is essential.
- BevSplat: Resolving Height Ambiguity via Feature-Based Gaussian Primitives for Weakly-Supervised Cross-View Localization
- Disentangling Superpositions: Interpretable Brain Encoding Model with Sparse Concept Atoms
- FHGS: Feature-Homogenized Gaussian Splatting
- Federated Continual Learning via Orchestrating Multi-Scale Expertise
- Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation
- Object-Centric Representation Learning for Enhanced 3D Semantic Scene Graph Prediction
- Transferring Linear Features Across Language Models With Model Stitching