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Scene Recognition

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Showing 151–200 of 207 papers

TitleStatusHype
A Robust Indoor Scene Recognition Method based on Sparse Representation—0
ASK: Adaptively Selecting Key Local Features for RGB-D 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
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification—0
Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data—0
Bags of Spacetime Energies for Dynamic Scene Recognition—0
Better Exploiting OS-CNNs for Better Event Recognition in Images—0
Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features—0
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads—0
Advancing Ubiquitous Wireless Connectivity through Channel Twinning—0
CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition—0
Coarse-to-fine Task-driven Inpainting for Geoscience Images—0
Combining Multiple Cues for Visual Madlibs Question Answering—0
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections—0
Context-Aware Multi-Task Learning for Traffic Scene Recognition in Autonomous Vehicles—0
Contrastive Visual Data Augmentation—0
ConvNets vs. Transformers: Whose Visual Representations are More Transferable?—0
Cross Domain Model Compression by Structurally Weight Sharing—0
Data-oriented Scene Recognition—0
Deep convolutional filter banks for texture recognition and segmentation—0
Deep learning for scene recognition from visual data: a survey—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition—0
Effective Data Augmentation with Multi-Domain Learning GANs—0
Effectiveness of Function Matching in Driving Scene Recognition—0
EnTri: Ensemble Learning with Tri-level Representations for Explainable Scene Recognition—0
Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures—0
Fast and Efficient Scene Categorization for Autonomous Driving using VAEs—0
Fine-tuning Convolutional Neural Networks for fine art classification—0
FLAR: A Unified Prototype Framework for Few-Sample Lifelong Active Recognition—0
FOSNet: An End-to-End Trainable Deep Neural Network for Scene Recognition—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
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
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding—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
Attention-based Knowledge Distillation in Multi-attention Tasks: The Impact of a DCT-driven Loss—0
Indoor scene recognition from images under visual corruptions—0
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus—0
Inter-object Discriminative Graph Modeling for Indoor Scene Recognition—0
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