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Scene Recognition

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Showing 26–50 of 207 papers

TitleStatusHype
Attentional Graph Convolutional Network for Structure-aware Audio-Visual Scene Classification—0
A Survey of Vision Transformers in Autonomous Driving: Current Trends and Future Directions—0
Amodal Completion and Size Constancy in Natural Scenes—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
Effective Data Augmentation with Multi-Domain Learning GANs—0
A Supervised Neural Autoregressive Topic Model for Simultaneous Image Classification and Annotation—0
Digital Divides in Scene Recognition: Uncovering Socioeconomic Biases in Deep Learning Systems—0
Adaptive Active Learning for Image Classification—0
A Robust Indoor Scene Recognition Method based on Sparse Representation—0
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks—0
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition—0
Effectiveness of Function Matching in Driving Scene Recognition—0
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections—0
A Novel Locally Linear KNN Model for Visual Recognition—0
ALA: Naturalness-aware Adversarial Lightness Attack—0
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
Combining Multiple Cues for Visual Madlibs Question Answering—0
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines—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
ASK: Adaptively Selecting Key Local Features for RGB-D Scene Recognition—0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition—0
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