Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Visual-Textual Capsule Routing for Text-Based Video Segmentation
Joint understanding of vision and natural language is a challenging problem with a wide range of applications in artificial intelligence. In this work, we focus on integration of video and text for the task of actor and …
Action LocalizationReferring Expression SegmentationSentenceVideo Segmentation+1Weakly-Supervised Action Localization with Expectation-Maximization Multi-Instance Learning
Weakly-supervised action localization requires training a model to localize the action segments in the video given only video level action label. It can be solved under the Multiple Instance Learning (MIL) framework, whe…
Action LocalizationMultiple Instance LearningPseudo LabelWeakly Supervised Action LocalizationWeakly-Supervised Action Localization by Generative Attention Modeling
Weakly-supervised temporal action localization is a problem of learning an action localization model with only video-level action labeling available. The general framework largely relies on the classification activation,…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationAction Localization through Continual Predictive Learning
The problem of action recognition involves locating the action in the video, both over time and spatially in the image. The dominant current approaches use supervised learning to solve this problem, and require large amo…
Action LocalizationAction RecognitionContinual LearningGaze PredictionA Novel Online Action Detection Framework from Untrimmed Video Streams
Online temporal action localization from an untrimmed video stream is a challenging problem in computer vision. It is challenging because of i) in an untrimmed video stream, more than one action instance may appear, incl…
Action DetectionAction LocalizationOnline Action DetectionTemporal Action LocalizationSF-Net: Single-Frame Supervision for Temporal Action Localization
In this paper, we study an intermediate form of supervision, i.e., single-frame supervision, for temporal action localization (TAL). To obtain the single-frame supervision, the annotators are asked to identify only a sin…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationBottom-Up Temporal Action Localization with Mutual Regularization
Recently, temporal action localization (TAL), i.e., finding specific action segments in untrimmed videos, has attracted increasing attentions of the computer vision community. State-of-the-art solutions for TAL involves …
Action LocalizationTemporal Action LocalizationWeakly-Supervised Multi-Person Action Recognition in 360$^{\circ}$ Videos
The recent development of commodity 360$^{\circ}$ cameras have enabled a single video to capture an entire scene, which endows promising potentials in surveillance scenarios. However, research in omnidirectional video an…
Action LocalizationAction RecognitionMulti-Label LearningAction Graphs: Weakly-supervised Action Localization with Graph Convolution Networks
We present a method for weakly-supervised action localization based on graph convolutions. In order to find and classify video time segments that correspond to relevant action classes, a system must be able to both ident…
Action LocalizationWeakly Supervised Action LocalizationWeakly Supervised Temporal Action Localization Using Deep Metric Learning
Temporal action localization is an important step towards video understanding. Most current action localization methods depend on untrimmed videos with full temporal annotations of action instances. However, it is expens…
Action LocalizationMetric LearningTemporal Action LocalizationTemporal Localization+2End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Annotating videos is cumbersome, expensive and not scalable. Yet, many strong video models still rely on manually annotated data. With the recent introduction of the HowTo100M dataset, narrated videos now offer the possi…
Action LocalizationAction RecognitionAction SegmentationLong Video Retrieval (Background Removed)+4SoccerDB: A Large-Scale Database for Comprehensive Video Understanding
Soccer videos can serve as a perfect research object for video understanding because soccer games are played under well-defined rules while complex and intriguing enough for researchers to study. In this paper, we propos…
Action ClassificationAction DetectionAction LocalizationAction Recognition+5Video action detection by learning graph-based spatio-temporal interactions
Action Detection is a complex task that aims to detect and classify human actions in video clips. Typically, it has been addressed by processing fine-grained features extracted from a video classification backbone. Recen…
Action DetectionAction LocalizationGraph LearningSpatio-Temporal Action Localization+4Learning Sparse 2D Temporal Adjacent Networks for Temporal Action Localization
In this report, we introduce the Winner method for HACS Temporal Action Localization Challenge 2019. Temporal action localization is challenging since a target proposal may be related to several other candidate proposals…
Action LocalizationTemporal Action LocalizationBackground Suppression Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization is a very challenging problem because frame-wise labels are not given in the training stage while the only hint is video-level labels: whether each video contains action fra…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationWeakly-supervised Temporal Action LocalizationYou Only Watch Once: A Unified CNN Architecture for Real-Time Spatiotemporal Action Localization
Spatiotemporal action localization requires the incorporation of two sources of information into the designed architecture: (1) temporal information from the previous frames and (2) spatial information from the key frame…
Actin DetectionAction DetectionAction LocalizationAction Recognition In VideosA Proposed Artificial intelligence Model for Real-Time Human Action Localization and Tracking
In recent years, artificial intelligence (AI) based on deep learning (DL) has sparked tremendous global interest. DL is widely used today and has expanded into various interesting areas. It is becoming more popular in cr…
Action DetectionAction LocalizationObjectobject-detection+3Temporal Action Localization using Long Short-Term Dependency
Temporal action localization in untrimmed videos is an important but difficult task. Difficulties are encountered in the application of existing methods when modeling temporal structures of videos. In the present study, …
Action LocalizationTemporal Action LocalizationTowards Train-Test Consistency for Semi-supervised Temporal Action Localization
Recently, Weakly-supervised Temporal Action Localization (WTAL) has been densely studied but there is still a large gap between weakly-supervised models and fully-supervised models. It is practical and intuitive to annot…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationVideo Classification+1Human Action Sequence Classification
This paper classifies human action sequences from videos using a machine translation model. In contrast to classical human action classification which outputs a set of actions, our method output a sequence of action in t…
Action ClassificationAction LocalizationAction SegmentationClassification+4