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Found 5 papers, 3 papers with code
Learning the Distribution of Errors in Stereo Matching for Joint Disparity and Uncertainty Estimation
We present a new loss function for joint disparity and uncertainty estimation in deep stereo matching.
Improving VQA and its Explanations \\ by Comparing Competing Explanations
Most recent state-of-the-art Visual Question Answering (VQA) systems are opaque black boxes that are only trained to fit the answer distribution given the question and visual content.
DropCluster: A structured dropout for convolutional networks
Dropout as a regularizer in deep neural networks has been less effective in convolutional layers than in fully connected layers.
Geometric Pose Affordance: 3D Human Pose with Scene Constraints
Full 3D estimation of human pose from a single image remains a challenging task despite many recent advances.
Embedding Multimodal Relational Data for Knowledge Base Completion
In this paper, we propose multimodal knowledge base embeddings (MKBE) that use different neural encoders for this variety of observed data, and combine them with existing relational models to learn embeddings of the entities and multimodal data.
