GOI: Find 3D Gaussians of Interest with an Optimizable Open-vocabulary Semantic-space Hyperplane.
Yansong QuShaohui DaiXinyang LiJianghang LinLiujuan CaoShengchuan ZhangRongrong JiPublished in: CoRR (2024)
Keyphrases
- hyperplane
- semantic space
- training samples
- support vector
- visual features
- feature space
- latent semantic analysis
- data points
- co occurrence
- support vector machine
- principal components
- kernel function
- concept space
- input space
- support vectors
- semantic concepts
- convex hull
- low dimensional
- keywords
- cross modal
- unsupervised manner
- automatically extracted
- mapping function
- svm classifier
- kernel methods
- data mining
- semantic features
- dimensionality reduction
- semi supervised
- bag of features
- reinforcement learning