Results 71 to 80 of about 15,689 (243)
Semantic Object Parsing with Graph LSTM
, 2016 By taking the semantic object parsing task as an exemplar application scenario, we propose the Graph Long Short-Term Memory (Graph LSTM) network, which is the generalization of LSTM from sequential data or multi-dimensional data to general graph ...
A Graves +5 more
core +1 more source
Adaptive superpixel segmentation of SAR images using an adaptive adjustment strategy for seeds [PDF]
, 2023 Teng Zhao +5 more
openalex +1 more source
A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification
CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 464-482, April 2026.ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan +5 more
wiley +1 more source
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data
, 2016 This paper proposes a two-view deterministic geometric model fitting method, termed Superpixel-based Deterministic Fitting (SDF), for multiple-structure data.
AS Brahmachari +12 more
core +1 more source
Interpretable Machine Learning: A Comprehensive Review of Foundations, Methods, and the Path Forward
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 1, March 2026.This systematic review of 352 studies establishes a comprehensive taxonomy for Interpretable Machine Learning, transitioning from foundational intrinsic models to advanced deep learning explanations. It reveals a critical paradigm shift toward “mechanistic interpretability” and actionable recourse, emphasizing that future AI systems must be rigorously ...
Shimon Fridkin, Michael Bendersky
wiley +1 more source
Correction to: Rooted Spanning Superpixels [PDF]
International Journal of Computer Vision, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +1 more source
Bioengineering, 2022 Lung segmentation of chest X-ray (CXR) images is a fundamental step in many diagnostic applications. Most lung field segmentation methods reduce the image size to speed up the subsequent processing time.
Chien-Cheng Lee +3 more
doaj +1 more source
Deep Saliency with Encoded Low level Distance Map and High Level Features
, 2016 Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene. These advances have demonstrated superior results over previous works that utilize hand-crafted low level features for ...
Kim, Junmo, Lee, Gayoung, Tai, Yu-Wing
core +1 more source
Journal of Geophysical Research: Solid Earth, Volume 131, Issue 3, March 2026.Abstract As spherical shell mantle convection models become increasingly commonplace, understanding how plates are generated has raised the issue of how to recognize whether rigid plates are present in model output. Tectonocists have long recognized that intraplate regions are not rigid without exception.
P. Javaheri, J. P. Lowman
wiley +1 more source
Superpixel Sampling Networks [PDF]
, 2018 Superpixels provide an efficient low/mid-level representation of image data, which greatly reduces the number of image primitives for subsequent vision tasks. Existing superpixel algorithms are not differentiable, making them difficult to integrate into otherwise end-to-end trainable deep neural networks.
Jampani, Varun +4 more
openaire +2 more sources