Papers Action Recognition In Still Images
“Action Recognition In Still Images” 태그가 달린 논문 13편 · 필터 해제
Human Action Recognition in Still Images Using ConViT
Understanding the relationship between different parts of an image is crucial in a variety of applications, including object recognition, scene understanding, and image classification. Despite the fact that Convolutional…
Action RecognitionAction Recognition In Still Imagesimage-classificationImage Classification+3Ensembles of Deep Neural Networks for Action Recognition in Still Images
Despite the fact that notable improvements have been made recently in the field of feature extraction and classification, human action recognition is still challenging, especially in images, in which, unlike videos, ther…
Action ClassificationAction RecognitionAction Recognition In Still ImagesEnsemble Learning+3HalluciNet-ing Spatiotemporal Representations Using a 2D-CNN
Spatiotemporal representations learned using 3D convolutional neural networks (CNN) are currently used in state-of-the-art approaches for action related tasks. However, 3D-CNN are notorious for being memory and compute r…
Action AnticipationAction ClassificationAction Quality AssessmentAction Recognition+5Zero-Shot Action Recognition in Videos: A Survey
Zero-Shot Action Recognition has attracted attention in the last years and many approaches have been proposed for recognition of objects, events and actions in images and videos. There is a demand for methods that can cl…
Action RecognitionAction Recognition In Still ImagesAction Recognition In VideosSurvey+3Loss Guided Activation for Action Recognition in Still Images
One significant problem of deep-learning based human action recognition is that it can be easily misled by the presence of irrelevant objects or backgrounds. Existing methods commonly address this problem by employing bo…
Action RecognitionAction Recognition In Still ImagesTemporal Action LocalizationTemporal Hallucinating for Action Recognition With Few Still Images
Action recognition in still images has been recently promoted by deep learning. However, the success of these deep models heavily depends on huge amount of training images for various action categories, which may not be …
Action RecognitionAction Recognition In Still ImagesDomain AdaptationTemporal Action LocalizationScale Coding Bag of Deep Features for Human Attribute and Action Recognition
Most approaches to human attribute and action recognition in still images are based on image representation in which multi-scale local features are pooled across scale into a single, scale-invariant encoding. Both in bag…
Action RecognitionAction Recognition In Still ImagesAttributeTemporal Action LocalizationFace-space Action Recognition by Face-Object Interactions
Action recognition in still images has seen major improvement in recent years due to advances in human pose estimation, object recognition and stronger feature representations. However, there are still many cases in whic…
Action RecognitionAction Recognition In Still ImagesObjectObject Recognition+2Hierarchical Spatial Sum-Product Networks for Action Recognition in Still Images
Recognizing actions from still images is popularly studied recently. In this paper, we model an action class as a flexible number of spatial configurations of body parts by proposing a new spatial SPN (Sum-Product Networ…
Action RecognitionAction Recognition In Still ImagesTemporal Action LocalizationHand-Object Interaction and Precise Localization in Transitive Action Recognition
Action recognition in still images has seen major improvement in recent years due to advances in human pose estimation, object recognition and stronger feature representations produced by deep neural networks. However, t…
Action RecognitionAction Recognition In Still ImagesObjectObject Recognition+3Action recognition in still images by latent superpixel classification
Action recognition from still images is an important task of computer vision applications such as image annotation, robotic navigation, video surveillance and several others. Existing approaches mainly rely on either bag…
Action RecognitionAction Recognition In Still ImagesClassificationGeneral Classification+2Expanded Parts Model for Human Attribute and Action Recognition in Still Images
We propose a new model for recognizing human attributes (e.g. wearing a suit, sitting, short hair) and actions (e.g. running, riding a horse) in still images. The proposed model relies on a collection of part templates w…
Action RecognitionAction Recognition In Still ImagesAttributeTemporal Action LocalizationLearning person-object interactions for action recognition in still images
We investigate a discriminatively trained model of person-object interactions for recognizing common human actions in still images. We build on the locally order-less spatial pyramid bag-of-features model, which was show…
Action RecognitionAction Recognition In Still ImagesObjectTemporal Action Localization