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Found 7 papers, 1 papers with code
S2D2Net: An Improved Approach For Robust Steel Surface Defects Diagnosis With Small Sample Learning
Surface defect recognition of products is a necessary process to guarantee the quality of industrial production.
Knowledge driven Description Synthesis for Floor Plan Interpretation
These two models take advantage of modern deep neural networks for visual feature extraction and text generation.
GRIHA: Synthesizing 2-Dimensional Building Layouts from Images Captured using a Smart Phone
Reconstructing an indoor scene and generating a layout/floor plan in 3D or 2D is a widely known problem.
Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval
Low level features like color, texture, and shape feature vectors of an image are always considered to be an important attribute in CBIR system.
Automatic Rendering of Building Floor Plan Images from Textual Descriptions in English
Human beings understand natural language description and could able to imagine a corresponding visual for the same.
Siamese LSTM based Fiber Structural Similarity Network (FS2Net) for Rotation Invariant Brain Tractography Segmentation
In this paper, we propose a novel deep learning architecture combining stacked Bi-directional LSTM and LSTMs with the Siamese network architecture for segmentation of brain fibers, obtained from tractography data, into anatomically meaningful clusters.
An Interactive Medical Image Segmentation Framework Using Iterative Refinement
They need to be pre-processed before segmentation.
