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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 Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions—0
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines—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
Learning Effective RGB-D Representations for Scene Recognition—0
A New Large Scale Dynamic Texture Dataset with Application to ConvNet Understanding—0
Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision—0
Learning From Less Data: Diversified Subset Selection and Active Learning in Image Classification Tasks—0
Learning to See by Moving—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
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 Deeper Look at Power Normalizations—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
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery—0
Indoor scene recognition from images under visual corruptions—0
Knowledge Integration Networks for Action Recognition—0
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus—0
Effectiveness of Function Matching in Driving Scene Recognition—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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