Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Hierarchical Self-Attention Network for Action Localization in Videos
This paper presents a novel Hierarchical Self-Attention Network (HISAN) to generate spatial-temporal tubes for action localization in videos. The essence of HISAN is to combine the two-stream convolutional neural network…
Action DetectionAction LocalizationWeakly Supervised Temporal Action Localization Through Contrast Based Evaluation Networks
Weakly-supervised temporal action localization (WS-TAL) is a promising but challenging task with only video-level action categorical labels available during training. Without requiring temporal action boundary annotation…
Action ClassificationAction LocalizationTemporal Action LocalizationWeakly Supervised Action Localization+1Gaussian Temporal Awareness Networks for Action Localization
Temporally localizing actions in a video is a fundamental challenge in video understanding. Most existing approaches have often drawn inspiration from image object detection and extended the advances, e.g., SSD and Faste…
Action Localizationobject-detectionObject DetectionVideo UnderstandingGraph Convolutional Networks for Temporal Action Localization
Most state-of-the-art action localization systems process each action proposal individually, without explicitly exploiting their relations during learning. However, the relations between proposals actually play an import…
Action ClassificationAction LocalizationTemporal Action LocalizationDeep Concept-wise Temporal Convolutional Networks for Action Localization
Existing action localization approaches adopt shallow temporal convolutional networks (\ie, TCN) on 1D feature map extracted from video frames. In this paper, we empirically find that stacking more conventional temporal …
Action ClassificationAction Localization3C-Net: Category Count and Center Loss for Weakly-Supervised Action Localization
Temporal action localization is a challenging computer vision problem with numerous real-world applications. Most existing methods require laborious frame-level supervision to train action localization models. In this wo…
Action ClassificationAction LocalizationTemporal Action LocalizationWeakly Supervised Action Localization+1Weakly-supervised Action Localization with Background Modeling
We describe a latent approach that learns to detect actions in long sequences given training videos with only whole-video class labels. Our approach makes use of two innovations to attention-modeling in weakly-supervised…
Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised LearningThree Branches: Detecting Actions With Richer Features
We present our three branch solutions for International Challenge on Activity Recognition at CVPR2019. This model seeks to fuse richer information of global video clip, short human attention and long-term human activity …
Action LocalizationActivity RecognitionSpatio-Temporal Action LocalizationTemporal Action LocalizationAdversarial Seeded Sequence Growing for Weakly-Supervised Temporal Action Localization
Temporal action localization is an important yet challenging research topic due to its various applications. Since the frame-level or segment-level annotations of untrimmed videos require amounts of labor expenditure, st…
Action DetectionAction LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationScale Matters: Temporal Scale Aggregation Network for Precise Action Localization in Untrimmed Videos
Temporal action localization is a recently-emerging task, aiming to localize video segments from untrimmed videos that contain specific actions. Despite the remarkable recent progress, most two-stage action localization …
Action LocalizationTemporal Action LocalizationMulti-Granularity Fusion Network for Proposal and Activity Localization: Submission to ActivityNet Challenge 2019 Task 1 and Task 2
This technical report presents an overview of our solution used in the submission to ActivityNet Challenge 2019 Task 1 (\textbf{temporal action proposal generation}) and Task 2 (\textbf{temporal action localization/detec…
Action LocalizationDiversityRe-RankingTask 2+2Submission to ActivityNet Challenge 2019: Task B Spatio-temporal Action Localization
This technical report present an overview of our system proposed for the spatio-temporal action localization(SAL) task in ActivityNet Challenge 2019. Unlike previous two-streams-based works, we focus on exploring the end…
Action LocalizationData AugmentationSpatio-Temporal Action LocalizationTemporal Action LocalizationLocalizing Unseen Activities in Video via Image Query
Action localization in untrimmed videos is an important topic in the field of video understanding. However, existing action localization methods are restricted to a pre-defined set of actions and cannot localize unseen a…
Action LocalizationVideo UnderstandingvireoJD-MM at Activity Detection in Extended Videos
This notebook paper presents an overview and comparative analysis of our system designed for activity detection in extended videos (ActEV-PC) in ActivityNet Challenge 2019. Specifically, we exploit person/vehicle detecti…
Action DetectionAction LocalizationActivity DetectionTrimmed Action Recognition, Dense-Captioning Events in Videos, and Spatio-temporal Action Localization with Focus on ActivityNet Challenge 2019
This notebook paper presents an overview and comparative analysis of our systems designed for the following three tasks in ActivityNet Challenge 2019: trimmed action recognition, dense-captioning events in videos, and sp…
Action LocalizationAction RecognitionDense CaptioningSpatio-Temporal Action Localization+1HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips
Learning text-video embeddings usually requires a dataset of video clips with manually provided captions. However, such datasets are expensive and time consuming to create and therefore difficult to obtain on a large sca…
Action LocalizationLong Video Retrieval (Background Removed)RetrievalText to Video Retrieval+1Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
Temporal action localization is crucial for understanding untrimmed videos. In this work, we first identify two underexplored problems posed by the weak supervision for temporal action localization, namely action complet…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationImproving Action Localization by Progressive Cross-stream Cooperation
Spatio-temporal action localization consists of three levels of tasks: spatial localization, action classification, and temporal segmentation. In this work, we propose a new Progressive Cross-stream Cooperation (PCSC) fr…
Action ClassificationAction DetectionAction LocalizationSpatio-Temporal Action Localization+1Exploring Feature Representation and Training strategies in Temporal Action Localization
Temporal action localization has recently attracted significant interest in the Computer Vision community. However, despite the great progress, it is hard to identify which aspects of the proposed methods contribute most…
Action LocalizationTemporal Action LocalizationMarginalized Average Attentional Network for Weakly-Supervised Learning
In weakly-supervised temporal action localization, previous works have failed to locate dense and integral regions for each entire action due to the overestimation of the most salient regions. To alleviate this issue, we…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Learning+1