Fine-Tuning CNN Image Retrieval with No Human Annotation
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- Type
- article
- Published
- 2017-11-03
- Cited by
- 1,605
- References
- 70
- OpenAlex
- https://openalex.org/W29994246
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6426453
Keywords
Medicine, Surgery, Ophthalmology
References
- DenseNet: Implementing Efficient ConvNet Descriptor Pyramids
- Fracking Deep Convolutional Image Descriptors
- Multiple Measurements and Joint Dimensionality Reduction for Large Scale Image Search with Short Vectors
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Deep Metric Learning Using Triplet Network
- From single image query to detailed 3D reconstruction
- From generic to specific deep representations for visual recognition
- Modeling local and global deformations in Deep Learning: Epitomic convolution, Multiple Instance Learning, and sliding window detection
- MatConvNet: Convolutional Neural Networks for MATLAB
- Learning Fine-Grained Image Similarity with Deep Ranking
- Three things everyone should know to improve object retrieval
- A Comparison of Affine Region Detectors
- Aggregating Local Image Descriptors into Compact Codes
- Visual query expansion with or without geometry: Refining local descriptors by feature aggregation
- Total recall II: Query expansion revisited
- Geometric Latent Dirichlet Allocation on a Matching Graph for Large-scale Image Datasets
- CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
- Large-scale image retrieval with compressed Fisher vectors
- Hello neighbor: Accurate object retrieval with k-reciprocal nearest neighbors
- Discriminative Deep Metric Learning for Face Verification in the Wild
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- Generalization in Metric Learning: Should the Embedding Layer Be Embedding Layer?
- Revisiting Oxford and Paris: Large-Scale Image Retrieval Benchmarking
- Unsupervised Semantic-Based Aggregation of Deep Convolutional Features
- Improving image retrieval by integrating shape and texture features
- Weakly-supervised object detection via mining pseudo ground truth bounding-boxes
- Exploring geometric information in CNN for image retrieval
- Weighted Generalized Mean Pooling for Deep Image Retrieval
- Designing Variational Autoencoders for Image Retrieval
- Regional Maximum Activations of Convolutions with Attention for Cross-domain Beauty and Personal Care Product Retrieval
- Multi-Scale Context Attention Network for Image Retrieval
- Texture synthesis guided deep hashing for texture image retrieval
- Attention-aware Generalized Mean Pooling for Image Retrieval
- CAPTAIN: Comprehensive Composition Assistance for Photo Taking
- Multi-stage image retrieval based on feature augmentation with truncated polynomial weight
- Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks
- Detect-To-Retrieve: Efficient Regional Aggregation for Image Search
- Universal Perturbation Attack Against Image Retrieval
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