Bilinear CNN Models for Fine-Grained Visual Recognition
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- Type
- article
- Published
- 2015-04-29
- Cited by
- 2,092
- References
- 79
- OpenAlex
- https://openalex.org/W2104657103
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:1331231
Keywords
Bilinear interpolation, Computer science, Convolutional neural network, Pattern recognition (psychology), Pairwise comparison
References
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- Deep Filter Banks for Texture Recognition, Description, and Segmentation
- Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
- Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
- Bird Species Categorization Using Pose Normalized Deep Convolutional Nets
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- The Caltech-UCSD Birds-200-2011 Dataset
- Fine-Grained Visual Classification of Aircraft
- Fine-grained recognition without part annotations
- Learning to segment moving objects in videos
- Hypercolumns for object segmentation and fine-grained localization
- Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
- The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification
- MatConvNet: Convolutional Neural Networks for MATLAB
- Revisiting the Fisher vector for fine-grained classification
- Return of the Devil in the Details: Delving Deep into Convolutional Nets
- Aggregating local descriptors into a compact image representation
- Describing Textures in the Wild
- A Compact and Discriminative Face Track Descriptor
- Material perception: What can you see in a brief glance?
Cited by
- Mining Mid-level Visual Patterns with Deep CNN Activations
- Deep Image: Scaling up Image Recognition
- Face Identification with Bilinear CNNs
- Weakly Supervised Deep Detection Networks
- ABC-CNN: An Attention Based Convolutional Neural Network for Visual Question Answering
- NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
- What can we learn about CNNs from a large scale controlled object dataset?
- Fine-Grained Image Classification by Exploring Bipartite-Graph Labels
- Cross-convolutional-layer Pooling for Generic Visual Recognition
- Part-Stacked CNN for Fine-Grained Visual Categorization
- No spare parts: Sharing part detectors for image categorization
- Blockout: Dynamic Model Selection for Hierarchical Deep Networks
- Training Deep Networks with Structured Layers by Matrix Backpropagation
- The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks
- Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
- Multi-Region bilinear convolutional neural networks for person re-identification
- Fine-grained pose prediction, normalization, and recognition
- A review on the main challenges in automatic plant disease identification based on visible range images
- In-field automatic observation of wheat heading stage using computer vision
- Disentangling Nonlinear Perceptual Embeddings With Multi-Query Triplet Networks
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