One-shot learning of object categories
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- Type
- article
- Published
- 2006-04-01
- Cited by
- 3,362
- References
- 45
- Access
- Open access
- OpenAlex
- https://openalex.org/W2115733720
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6953475
Keywords
Artificial intelligence, Computer science, Object (grammar), Machine learning, Bayesian probability
References
- A Computational Model for Visual Selection
- Shape from shading
- On The Sensitivity Of The Hough Transform For Object Recognition
- Inferring Parameters and Structure of Latent Variable Models by Variational Bayes
- Saliency, Scale and Image Description
- Unsupervised learning of models for object recognition
- Viewpoint-invariant learning and detection of human heads
- Detecting Pedestrians Using Patterns of Motion and Appearance
- Combining Class-Specific Fragments for Object Classification
- Pictorial Structures for Object Recognition
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Book review: “Bayesian Data Analysis,” Second Edition by A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin Chapman & Hall/CRC, 2004
- Representation and detection of deformable shapes
- A sparse object category model for efficient learning and exhaustive recognition
- Gradient-based learning applied to document recognition
- Recognition of planar object classes
- Object recognition from local scale-invariant features
- Finding faces in cluttered scenes using random labeled graph matching
- Learning methods for generic object recognition with invariance to pose and lighting
- 3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints
Cited by
- Caltech-UCSD Birds 200
- Classification multi-modèles des images dans les bases Hétérogènes. (Multi-model image classification in heterogeneous databases)
- Two-Dimensional Multilabel Active Learning with an Efficient Online Adaptation Model for Image Classification
- The Image torque operator for mid-Level Vision: Theory and Experiment
- Reconnaissance de catégories d'objets et d'instances d'objets à l'aide de représentations locales. (Local Feature Based Object Categories and Object Instances Recognition)
- Approximation and Relaxation Approaches for Parallel and Distributed Machine Learning
- Эпидемиологические особенности профессиональной пылевой патологии в Самарской области.
- Visual region understanding : unsupervised extraction and abstraction
- Detecting domestic objects with ensembles of view-tuned support vector machine cascades trained on Web images
- Learning to Learn: Algorithmic Inspirations from Human Problem Solving
- Inter-robot transfer learning for perceptual classification
- Online Active Constraint Selection For Semi-Supervised Clustering
- Face analysis based on reference samples
- Feature Selection in Image Databases
- Thought Recognition: Predicting and Decoding Brain Activity Using the Zero-Shot Learning Model
- Deep Transfer Network: Unsupervised Domain Adaptation
- MSRA-MM: Bridging Research and Industrial Societies for Multimedia Information Retrieval
- Object Detection using Dimensionality Reduction on Image Descriptors
- Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
- Spectral active clustering via purification of the K-Nearest neighbor graph
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