Model recommendation: Generating object detectors from few samples
Explore this paper's citation graph
- Type
- article
- Published
- 2015-06-07
- Cited by
- 48
- References
- 60
- OpenAlex
- https://openalex.org/W1922288304
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:8084176
Keywords
Computer science, Detector, Task (project management), Set (abstract data type), Key (lock)
References
- Collaborative Filtering on a Budget
- The problem of concept drift: definitions and related work
- Probabilistic Symmetries and Invariance Principles
- Collaborative Filtering via Ensembles of Matrix Factorizations
- Probabilistic Outputs for Support vector Machines and Comparisons to Regularized Likelihood Methods
- Model recommendation for action recognition
- Exploiting hierarchical context on a large database of object categories
- Tabula rasa: Model transfer for object category detection
- Ensemble of exemplar-SVMs for object detection and beyond
- Watch and learn: Semi-supervised learning of object detectors from videos
- Learning dictionary on manifolds for image classification
- Learning Categories From Few Examples With Multi Model Knowledge Transfer
- Efficient Model Evaluation with Bilinear Separation Model
- The Pascal Visual Object Classes (VOC) Challenge
- Blocks That Shout: Distinctive Parts for Scene Classification
- Factor in the neighbors: Scalable and accurate collaborative filtering
- Matrix Factorization Techniques for Recommender Systems
- Ensemble Projection for Semi-supervised Image Classification
- Data-driven exemplar model selection
- Enhancing Exemplar SVMs using Part Level Transfer Regularization
Cited by
- Watch and learn: Semi-supervised learning of object detectors from videos
- Class specific centralized dictionary learning for face recognition
- Blockwise coordinate descent schemes for efficient and effective dictionary learning
- Locality sensitive dictionary learning for image classification
- Face recognition using class specific dictionary learning for sparse representation and collaborative representation
- Learning object models from few examples
- cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
- Weak supervision for detecting object classes from activities
- Combining Low-Density Separators with CNNs
- Infinite Variational Autoencoder for Semi-Supervised Learning
- Learning by Transferring from Unsupervised Universal Sources
- Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs
- Few-Example Object Detection with Model Communication
- cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers Survey
- Learning to Model the Tail
- Growing a Brain: Fine-Tuning by Increasing Model Capacity
- Discovering and Leveraging Visual Structure for Large-Scale Recognation
- Few-Shot Hash Learning for Image Retrieval
- Transferring Common-Sense Knowledge for Object Detection
- Learning to Learn for Small Sample Visual Recognition
Related papers
- A (Relatively) Unsatisfactory Experience of Use of Scratch in CS1
- Investigation on Scratch Tolerance of the Cabin Glass
- Effect of Scratch on Fatigue Life of Fasten Holes
- Effect of scratch velocity on scratch behavior of injection‐molded polypropylene
- MG313 Daily life support robot which picks up an object indicated by a human
- The relation between choosing and working prevocational tasks in two severely retarded young adults.
- Comparing Two Objects for Size after a Comparison of One of the Objects with other Objects
- Incremental Training of SVM-Based Human Detector
- Predictions For Pre-training Language Models