Learning Fine-Grained Image Similarity with Deep Ranking
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- Type
- article
- Published
- 2014-04-17
- Cited by
- 1,370
- References
- 26
- Access
- Open access
- OpenAlex
- https://openalex.org/W1975517671
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:3732882
Keywords
Artificial intelligence, Computer science, Similarity (geometry), Ranking (information retrieval), Deep learning
References
- On the importance of initialization and momentum in deep learning
- Improving neural networks by preventing co-adaptation of feature detectors
- Learning Hierarchical Features for Scene Labeling
- Learning invariance through imitation
- Fast multiresolution image querying
- Large-scale image retrieval with compressed Fisher vectors
- Learning mid-level features for recognition
- Online multimodal deep similarity learning with application to image retrieval
- Large scale image annotation: learning to rank with joint word-image embeddings
- Object recognition from local scale-invariant features
- Improved Consistent Sampling, Weighted Minhash and L1 Sketching
- Dimensionality Reduction by Learning an Invariant Mapping
- Histograms of oriented gradients for human detection
- Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
- ImageNet classification with deep convolutional neural networks
- Large Scale Distributed Deep Networks
- Visual and semantic similarity in ImageNet
- Relative attributes
- TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation
- Learning image similarity from Flickr groups using Stochastic Intersection Kernel MAchines
Cited by
- Fine-Tuning CNN Image Retrieval with No Human Annotation
- Learning Two-Branch Neural Networks for Image-Text Matching Tasks
- Towards Partial Supervision for Generic Object Counting in Natural Scenes
- Unsupervised Learning of Visual Representations Using Videos
- Pose Embeddings: A Deep Architecture for Learning to Match Human Poses
- Learning to See by Moving
- Deep Metric Learning Using Triplet Network
- Effective training of convolutional networks using noisy Web images
- Learning semantic relationships for better action retrieval in images
- Learning descriptors for object recognition and 3D pose estimation
- Deep semantic ranking based hashing for multi-label image retrieval
- MatchNet: Unifying feature and metric learning for patch-based matching
- Learning Cross Space Mapping via DNN Using Large Scale Click-Through Logs
- Learning deep representations for ground-to-aerial geolocalization
- Weakly Supervised Deep Metric Learning for Community-Contributed Image Retrieval
- Bit-Scalable Deep Hashing With Regularized Similarity Learning for Image Retrieval and Person Re-Identification
- Deep feature learning with relative distance comparison for person re-identification
- PlateClick: Bootstrapping Food Preferences Through an Adaptive Visual Interface
- Fine-Grained Image Search
- Scalable Similarity Learning Using Large Margin Neighborhood Embedding
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