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Found 6 papers, 2 papers with code
Estimation of Human Condition at Disaster Site Using Aerial Drone Images
Drones are being used to assess the situation in various disasters.
Graph Representation for Order-Aware Visual Transformation
This paper proposes a new visual reasoning formulation that aims at discovering changes between image pairs and their temporal orders.
Describing and Localizing Multiple Changes with Transformers
Change captioning tasks aim to detect changes in image pairs observed before and after a scene change and generate a natural language description of the changes.
Can Vision Transformers Learn without Natural Images?
Moreover, although the ViT pre-trained without natural images produces some different visualizations from ImageNet pre-trained ViT, it can interpret natural image datasets to a large extent.
Dominant Codewords Selection with Topic Model for Action Recognition
Latent Dirichlet allocation (LDA) is used to develop approximations of human motion primitives; these are mid-level representations, and they adaptively integrate dominant vectors when classifying human activities.
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
In this paper, we evaluate convolutional neural network (CNN) features using the AlexNet architecture and very deep convolutional network (VGGNet) architecture.
