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Found 7 papers, 0 papers with code
RocNet: Recursive Octree Network for Efficient 3D Deep Representation
Our network compresses a voxel grid of any size down to a very small latent space in an autoencoder-like network.
Distance Metric Learned Collaborative Representation Classifier
We present a simple effective way of achieving this by learning a generic Mahalanabis distance in a collaborative loss function in an end-to-end fashion with any standard convolutional network as the feature learner.
PProCRC: Probabilistic Collaboration of Image Patches
We present a conditional probabilistic framework for collaborative representation of image patches.
CoCoNet: A Collaborative Convolutional Network
We present an end-to-end deep network for fine-grained visual categorization called Collaborative Convolutional Network (CoCoNet).
Fine-Grained Visual Categorization
Fine-Grained Visual Recognition
+1
Fair Forests: Regularized Tree Induction to Minimize Model Bias
The potential lack of fairness in the outputs of machine learning algorithms has recently gained attention both within the research community as well as in society more broadly.
LOOP Descriptor: Local Optimal Oriented Pattern
This letter introduces the LOOP binary descriptor (local optimal oriented pattern) that encodes rotation invariance into the main formulation itself.
Auto-JacoBin: Auto-encoder Jacobian Binary Hashing
Binary codes can be used to speed up nearest neighbor search tasks in large scale data sets as they are efficient for both storage and retrieval.
