Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Representation Learning on Visual-Symbolic Graphs for Video Understanding
Events in natural videos typically arise from spatio-temporal interactions between actors and objects and involve multiple co-occurring activities and object classes. To capture this rich visual and semantic context, we …
Action ClassificationAction DetectionAction LocalizationAction Segmentation+5Spatio-Temporal Action Localization in a Weakly Supervised Setting
Enabling computational systems with the ability to localize actions in video-based content has manifold applications. Traditionally, such a problem is approached in a fully-supervised setting where video-clips with compl…
Action DetectionAction LocalizationMultiple Instance LearningSpatio-Temporal Action Localization+1Temporal Unet: Sample Level Human Action Recognition using WiFi
Human doing actions will result in WiFi distortion, which is widely explored for action recognition, such as the elderly fallen detection, hand sign language recognition, and keystroke estimation. As our best survey, pas…
Action LocalizationAction RecognitionAction SegmentationSemantic Segmentation+2Weakly Supervised Gaussian Networks for Action Detection
Detecting temporal extents of human actions in videos is a challenging computer vision problem that requires detailed manual supervision including frame-level labels. This expensive annotation process limits deploying ac…
Action DetectionAction LocalizationTemporal Action LocalizationRefineLoc: Iterative Refinement for Weakly-Supervised Action Localization
Video action detectors are usually trained using datasets with fully-supervised temporal annotations. Building such datasets is an expensive task. To alleviate this problem, recent methods have tried to leverage weak lab…
Action LocalizationTemporal Action LocalizationTemporal LocalizationWeakly Supervised Action Localization+1Progress Regression RNN for Online Spatial-Temporal Action Localization in Unconstrained Videos
Previous spatial-temporal action localization methods commonly follow the pipeline of object detection to estimate bounding boxes and labels of actions. However, the temporal relation of an action has not been fully expl…
Action Localizationobject-detectionObject DetectionPosition+2Exploring Frame Segmentation Networks for Temporal Action Localization
Temporal action localization is an important task of computer vision. Though many methods have been proposed, it still remains an open question how to predict the temporal location of action segments precisely. Most stat…
Action LocalizationOpen-Ended Question AnsweringTemporal Action LocalizationSpatio-temporal Action Recognition: A Survey
The task of action recognition or action detection involves analyzing videos and determining what action or motion is being performed. The primary subject of these videos are predominantly humans performing some action. …
Action DetectionAction LocalizationAction RecognitionSpatio-temporal Action Recognition+3Cricket stroke extraction: Towards creation of a large-scale cricket actions dataset
In this paper, we deal with the problem of temporal action localization for a large-scale untrimmed cricket videos dataset. Our action of interest for cricket videos is a cricket stroke played by a batsman, which is, usu…
Action LocalizationGame of CricketTemporal Action LocalizationLearning Discriminative Motion Features Through Detection
Despite huge success in the image domain, modern detection models such as Faster R-CNN have not been used nearly as much for video analysis. This is arguably due to the fact that detection models are designed to operate …
Action LocalizationAction RecognitionFine-grained Action RecognitionPose Estimation+1Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries
In this paper, we propose an end-to-end capsule network for pixel level localization of actors and actions present in a video. The localization is performed based on a natural language query through which an actor and ac…
Action LocalizationNatural Language QueriesVideo SegmentationVideo Semantic SegmentationA Perceptual Prediction Framework for Self Supervised Event Segmentation
Temporal segmentation of long videos is an important problem, that has largely been tackled through supervised learning, often requiring large amounts of annotated training data. In this paper, we tackle the problem of s…
Action LocalizationAction RecognitionEvent SegmentationPrediction+2Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and Beyond
We propose 'Hide-and-Seek' a general purpose data augmentation technique, which is complementary to existing data augmentation techniques and is beneficial for various visual recognition tasks. The key idea is to hide pa…
Action LocalizationData AugmentationEmotion Recognitionimage-classification+5BLP -- Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization
Despite tremendous progress achieved in temporal action detection, state-of-the-art methods still suffer from the sharp performance deterioration when localizing the starting and ending temporal action boundaries. Althou…
Action DetectionAction LocalizationregressionTemporal Action LocalizationCascaded Pyramid Mining Network for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization, which aims at temporally locating action instances in untrimmed videos using only video-level class labels during training, is an important yet challenging problem in video…
Action LocalizationGeneral ClassificationTemporal Action LocalizationVideo Classification+1What do I Annotate Next? An Empirical Study of Active Learning for Action Localization
Despite tremendous progress achieved in temporal action localization, state-of-the-art methods still struggle to train accurate models when annotated data is scarce. In this paper, we introduce a novel active learning fr…
Action LocalizationActive LearningTemporal Action LocalizationTemporal LocalizationAutoLoc: Weakly-supervised Temporal Action Localization in Untrimmed Videos
Temporal Action Localization (TAL) in untrimmed video is important for many applications. But it is very expensive to annotate the segment-level ground truth (action class and temporal boundary). This raises the interest…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationActor-Centric Relation Network
Current state-of-the-art approaches for spatio-temporal action localization rely on detections at the frame level and model temporal context with 3D ConvNets. Here, we go one step further and model spatio-temporal relati…
Action ClassificationAction DetectionAction LocalizationAction Recognition+4Diagnosing Error in Temporal Action Detectors
Despite the recent progress in video understanding and the continuous rate of improvement in temporal action localization throughout the years, it is still unclear how far (or close?) we are to solving the problem. To th…
Action LocalizationDiagnosticTemporal Action LocalizationVideo UnderstandingA Better Baseline for AVA
We introduce a simple baseline for action localization on the AVA dataset. The model builds upon the Faster R-CNN bounding box detection framework, adapted to operate on pure spatiotemporal features - in our case produce…
Action LocalizationAction Recognition