Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Unsupervised Domain Adaptation for Spatio-Temporal Action Localization
Spatio-temporal action localization is an important problem in computer vision that involves detecting where and when activities occur, and therefore requires modeling of both spatial and temporal features. This problem …
Action LocalizationDomain Adaptationobject-detectionObject Detection+3BSN++: Complementary Boundary Regressor with Scale-Balanced Relation Modeling for Temporal Action Proposal Generation
Generating human action proposals in untrimmed videos is an important yet challenging task with wide applications. Current methods often suffer from the noisy boundary locations and the inferior quality of confidence sco…
Action LocalizationRelationTemporal Action LocalizationTemporal Action Proposal GenerationLearning to Localize Actions from Moments
With the knowledge of action moments (i.e., trimmed video clips that each contains an action instance), humans could routinely localize an action temporally in an untrimmed video. Nevertheless, most practical methods sti…
Action LocalizationTransfer LearningBoundary Uncertainty in a Single-Stage Temporal Action Localization Network
In this paper, we address the problem of temporal action localization with a single stage neural network. In the proposed architecture we model the boundary predictions as uni-variate Gaussian distributions in order to m…
Action LocalizationTemporal Action LocalizationTemporal Action Localization with Variance-Aware Networks
This work addresses the problem of temporal action localization with Variance-Aware Networks (VAN), i.e., DNNs that use second-order statistics in the input and/or the output of regression tasks. We first propose a netwo…
Action LocalizationregressionTemporal Action LocalizationRevisiting Anchor Mechanisms for Temporal Action Localization
Most of the current action localization methods follow an anchor-based pipeline: depicting action instances by pre-defined anchors, learning to select the anchors closest to the ground truth, and predicting the confidenc…
Action LocalizationTemporal Action LocalizationCFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization
Most current pipelines for spatio-temporal action localization connect frame-wise or clip-wise detection results to generate action proposals, where only local information is exploited and the efficiency is hindered by d…
Action DetectionAction LocalizationSpatio-Temporal Action LocalizationTemporal Action LocalizationEquivalent Classification Mapping for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization is a newly emerging yet widely studied topic in recent years. The existing methods can be categorized into two localization-by-classification pipelines, i.e., the pre-classi…
Action LocalizationClassificationGeneral ClassificationTemporal Action Localization+1Localizing the Common Action Among a Few Videos
This paper strives to localize the temporal extent of an action in a long untrimmed video. Where existing work leverages many examples with their start, their ending, and/or the class of the action during training time, …
Action LocalizationLearning Actionness via Long-range Temporal Order Verification
Current methods for action recognition typically rely on supervision provided by manual labeling. Such methods, however, do not scale well given the high burden of manual video annotation and a very large number of possi…
Action LocalizationAction RecognitionTemporal Action LocalizationComplementary Boundary Generator with Scale-Invariant Relation Modeling for Temporal Action Localization: Submission to ActivityNet Challenge 2020
This technical report presents an overview of our solution used in the submission to ActivityNet Challenge 2020 Task 1 (\textbf{temporal action localization/detection}). Temporal action localization requires to not only …
Action LocalizationDiversityTemporal Action LocalizationRecognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
Recognition of surgical activity is an essential component to develop context-aware decision support for the operating room. In this work, we tackle the recognition of fine-grained activities, modeled as action triplets …
Action LocalizationAction RecognitionAction Triplet RecognitionTriplet+1Weakly Supervised Temporal Action Localization with Segment-Level Labels
Temporal action localization presents a trade-off between test performance and annotation-time cost. Fully supervised methods achieve good performance with time-consuming boundary annotations. Weakly supervised methods w…
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action Localization1st place solution for AVA-Kinetics Crossover in AcitivityNet Challenge 2020
This technical report introduces our winning solution to the spatio-temporal action localization track, AVA-Kinetics Crossover, in ActivityNet Challenge 2020. Our entry is mainly based on Actor-Context-Actor Relation Net…
Action LocalizationRelation NetworkSpatio-Temporal Action LocalizationTemporal Action LocalizationActor-Context-Actor Relation Network for Spatio-Temporal Action Localization
Localizing persons and recognizing their actions from videos is a challenging task towards high-level video understanding. Recent advances have been achieved by modeling direct pairwise relations between entities. In thi…
Action DetectionAction LocalizationAction RecognitionRelation+4CBR-Net: Cascade Boundary Refinement Network for Action Detection: Submission to ActivityNet Challenge 2020 (Task 1)
In this report, we present our solution for the task of temporal action localization (detection) (task 1) in ActivityNet Challenge 2020. The purpose of this task is to temporally localize intervals where actions of inter…
Action DetectionAction LocalizationTemporal Action LocalizationTemporal Fusion Network for Temporal Action Localization:Submission to ActivityNet Challenge 2020 (Task E)
This technical report analyzes a temporal action localization method we used in the HACS competition which is hosted in Activitynet Challenge 2020.The goal of our task is to locate the start time and end time of the acti…
Action ClassificationAction LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action Localization by Uncertainty Modeling
Weakly-supervised temporal action localization aims to learn detecting temporal intervals of action classes with only video-level labels. To this end, it is crucial to separate frames of action classes from the backgroun…
Action ClassificationAction LocalizationMultiple Instance LearningOut-of-Distribution Detection+3ActionBytes: Learning From Trimmed Videos to Localize Actions
This paper tackles the problem of localizing actions in long untrimmed videos. Different from existing works, which all use annotated untrimmed videos during training, we learn only from short trimmed videos. This enable…
Action ClassificationAction LocalizationLearning Temporal Co-Attention Models for Unsupervised Video Action Localization
Temporal action localization (TAL) in untrimmed videos recently receives tremendous research enthusiasm. To our best knowledge, this is the first attempt in the literature to explore this task under an unsupervised setti…
Action LocalizationClusteringTemporal Action LocalizationTriplet