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Scene Recognition

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Showing 151–175 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
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