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Scene Recognition

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Showing 151–200 of 207 papers

TitleStatusHype
What do We Learn by Semantic Scene Understanding for Remote Sensing imagery in CNN framework?—0
Scene Recognition by Combining Local and Global Image DescriptorsCode0
Recognizing Dynamic Scenes with Deep Dual Descriptor based on Key Frames and Key Segments—0
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition—0
AGA: Attribute Guided AugmentationCode0
Word Recognition with Deep Conditional Random FieldsCode0
On the Exploration of Convolutional Fusion Networks for Visual Recognition—0
Audio Event and Scene Recognition: A Unified Approach using Strongly and Weakly Labeled Data—0
Combining Multiple Cues for Visual Madlibs Question Answering—0
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus—0
Places: An Image Database for Deep Scene Understanding—0
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNsCode0
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene RecognitionCode0
Seeing with Humans: Gaze-Assisted Neural Image Captioning—0
Semantic Clustering for Robust Fine-Grained Scene Recognition—0
Classifying Variable-Length Audio Files with All-Convolutional Networks and Masked Global PoolingCode0
CNN-LTE: a Class of 1-X Pooling Convolutional Neural Networks on Label Tree Embeddings for Audio Scene Recognition—0
A Framework for Multi-Robot Pose Graph SLAM—0
Discriminative Multi-Modal Feature Fusion for RGBD Indoor Scene Recognition—0
One-Shot Learning of Scene Locations via Feature Trajectory Transfer—0
Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition—0
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation—0
Locally-Supervised Deep Hybrid Model for Scene Recognition—0
Visualizing and Understanding Deep Texture Representations—0
Better Exploiting OS-CNNs for Better Event Recognition in Images—0
Amodal Completion and Size Constancy in Natural Scenes—0
Is Image Super-resolution Helpful for Other Vision Tasks?—0
Places205-VGGNet Models for Scene RecognitionCode0
Natural Scene Recognition Based on Superpixels and Deep Boltzmann Machines—0
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines—0
A Discriminative Representation of Convolutional Features for Indoor Scene Recognition—0
A Novel Locally Linear KNN Model for Visual Recognition—0
Deep Filter Banks for Texture Recognition and SegmentationCode0
More About VLAD: A Leap From Euclidean to Riemannian Manifolds—0
Joint Multi-Feature Spatial Context for Scene Recognition on the Semantic Manifold—0
Learning image representations tied to ego-motionCode0
Learning to See by Moving—0
Bilinear CNNs for Fine-grained Visual RecognitionCode0
Object Detectors Emerge in Deep Scene CNNsCode0
Learning Deep Features for Scene Recognition using Places Database—0
Deep convolutional filter banks for texture recognition and segmentation—0
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections—0
Capturing spatial interdependence in image features: the counting grid, an epitomic representation for bags of features—0
Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding—0
Orientational Pyramid Matching for Recognizing Indoor Scenes—0
Bags of Spacetime Energies for Dynamic Scene Recognition—0
CNN Features off-the-shelf: an Astounding Baseline for RecognitionCode0
DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionCode0
Models of Semantic Representation with Visual Attributes—0
Is Bottom-Up Attention Useful for Scene Recognition?—0
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