Understanding deep image representations by inverting them
Explore this paper's citation graph
- Type
- article
- Published
- 2014-11-26
- Cited by
- 2,115
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W1915485278
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:206593185
Keywords
Convolutional neural network, Artificial intelligence, Image (mathematics), Computer science, Scale-invariant feature transform
References
- Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons
- A bi-level view of inpainting - based image compression
- Visualizing Object Detection Features
- Intriguing properties of neural networks
- Supervised translation-invariant sparse coding
- Reconstructing an image from its local descriptors
- HOGgles: Visualizing Object Detection Features
- Image Reconstruction from Bag-of-Visual-Words
- Aggregating local descriptors into a compact image representation
- Locality-constrained Linear Coding for image classification
- Inversion of multilayer nets
- Exploring the representation capabilities of the HOG descriptor
- Inverting feedforward neural networks using linear and nonlinear programming
- ImageNet Large Scale Visual Recognition Challenge
- Object recognition from local scale-invariant features
- Video Google: a text retrieval approach to object matching in videos
- Learning Deep Features for Scene Recognition using Places Database
- Fisher Kernels on Visual Vocabularies for Image Categorization
- Fast Image Deconvolution using Hyper-Laplacian Priors
- Distinctive Image Features from Scale-Invariant Keypoints
Cited by
- Interpreting Deep Visual Representations via Network Dissection
- Understanding Intra-Class Knowledge Inside CNN
- Visualizing Object Detection Features
- Anticipating the future by watching unlabeled video
- Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
- Understanding Deep Features with Computer-Generated Imagery
- Visualizing and Comparing Convolutional Neural Networks
- Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images
- Inverting Convolutional Networks with Convolutional Networks
- Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation
- Unbiased Decoding of Biologically Motivated Visual Feature Descriptors
- Understanding Neural Networks Through Deep Visualization
- Assisting the training of deep neural networks with applications to computer vision
- A Neural Algorithm of Artistic Style
- See the Difference: Direct Pre-Image Reconstruction and Pose Estimation by Differentiating HOG
- Image Reconstruction from Bag-of-Visual-Words
- Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery
- A Century of Portraits: A Visual Historical Record of American High School Yearbooks
- Visual Language Modeling on CNN Image Representations
- Return of Frustratingly Easy Domain Adaptation
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