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Scene Recognition

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Showing 51–100 of 207 papers

TitleStatusHype
Coarse-to-fine Task-driven Inpainting for Geoscience Images—0
CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition—0
Data-oriented Scene Recognition—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines—0
Learning Effective RGB-D Representations for Scene Recognition—0
Deep convolutional filter banks for texture recognition and segmentation—0
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification—0
Deep learning for scene recognition from visual data: a survey—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
Bags of Spacetime Energies for Dynamic Scene Recognition—0
A Bag of Visual Words Approach for Symbols-Based Coarse-Grained Ancient Coin Classification—0
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding—0
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks—0
Learning to See by Moving—0
Less yet robust: crucial region selection for scene recognition—0
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads—0
FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition—0
Knowledge-enhanced Multi-perspective Video Representation Learning for Scene Recognition—0
Fine-tuning Convolutional Neural Networks for fine art classification—0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs—0
Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features—0
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures—0
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition—0
A Deeper Look at Power Normalizations—0
FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition—0
Advancing Ubiquitous Wireless Connectivity through Channel Twinning—0
Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning—0
GeoNet: Benchmarking Unsupervised Adaptation across Geographies—0
Hallucinating IDT Descriptors and I3D Optical Flow Features for Action Recognition with CNNs—0
Self-supervising Action Recognition by Statistical Moment and Subspace Descriptors—0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition—0
HGMR: Hierarchical Gaussian Mixtures for Adaptive 3D Registration—0
Hierarchical Metric Learning for Optical Remote Sensing Scene Categorization—0
Hierarchy of Alternating Specialists for Scene Recognition—0
High-order Tensor Pooling with Attention for Action Recognition—0
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery—0
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation—0
Identifying Auxiliary or Adversarial Tasks Using Necessary Condition Analysis for Adversarial Multi-task Video Understanding—0
Image Aesthetics Assessment Using Composite Features from off-the-Shelf Deep Models—0
Knowledge Integration Networks for Action Recognition—0
Indoor scene recognition from images under visual corruptions—0
Effectiveness of Function Matching in Driving Scene Recognition—0
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus—0
Contrastive Visual Data Augmentation—0
Inter-object Discriminative Graph Modeling for Indoor Scene Recognition—0
Investigating Power laws in Deep Representation Learning—0
Is Bottom-Up Attention Useful for Scene Recognition?—0
Is Image Super-resolution Helpful for Other Vision Tasks?—0
A Framework for Multi-Robot Pose Graph SLAM—0
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