Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
ReLER@ZJU Submission to the Ego4D Moment Queries Challenge 2022
In this report, we present the ReLER@ZJU1 submission to the Ego4D Moment Queries Challenge in ECCV 2022. In this task, the goal is to retrieve and localize all instances of possible activities in egocentric videos. Ego4D…
Action LocalizationMoment QueriesTemporal Action LocalizationA Simple Transformer-Based Model for Ego4D Natural Language Queries Challenge
This report describes Badgers@UW-Madison, our submission to the Ego4D Natural Language Queries (NLQ) Challenge. Our solution inherits the point-based event representation from our prior work on temporal action localizati…
Action LocalizationNatural Language QueriesTemporal Action LocalizationVideo GroundingWhere a Strong Backbone Meets Strong Features -- ActionFormer for Ego4D Moment Queries Challenge
This report describes our submission to the Ego4D Moment Queries Challenge 2022. Our submission builds on ActionFormer, the state-of-the-art backbone for temporal action localization, and a trio of strong video features …
Action LocalizationMoment QueriesTemporal Action LocalizationSoft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks
Temporal Action Localization (TAL) methods typically operate on top of feature sequences from a frozen snippet encoder that is pretrained with the Trimmed Action Classification (TAC) tasks, resulting in a task discrepanc…
Action ClassificationAction LocalizationComputational EfficiencyTemporal Action LocalizationPrior-enhanced Temporal Action Localization using Subject-aware Spatial Attention
Temporal action localization (TAL) aims to detect the boundary and identify the class of each action instance in a long untrimmed video. Current approaches treat video frames homogeneously, and tend to give background an…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationSimOn: A Simple Framework for Online Temporal Action Localization
Online Temporal Action Localization (On-TAL) aims to immediately provide action instances from untrimmed streaming videos. The model is not allowed to utilize future frames and any processing techniques to modify past pr…
Action LocalizationTemporal Action LocalizationEgoTaskQA: Understanding Human Tasks in Egocentric Videos
Understanding human tasks through video observations is an essential capability of intelligent agents. The challenges of such capability lie in the difficulty of generating a detailed understanding of situated actions, t…
Action LocalizationcounterfactualDescriptiveDiagnostic+3Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization
Temporal Action Localization (TAL) aims to predict both action category and temporal boundary of action instances in untrimmed videos, i.e., start and end time. Fully-supervised solutions are usually adopted in most exis…
Action LocalizationActive LearningInformativenessTemporal Action LocalizationAdaptive Perception Transformer for Temporal Action Localization
Temporal action localization aims to predict the boundary and category of each action instance in untrimmed long videos. Most of previous methods based on anchors or proposals neglect the global-local context interaction…
Action LocalizationTemporal Action LocalizationEnabling Weakly-Supervised Temporal Action Localization from On-Device Learning of the Video Stream
Detecting actions in videos have been widely applied in on-device applications. Practical on-device videos are always untrimmed with both action and background. It is desirable for a model to both recognize the class of …
Action DetectionAction LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationTemporal Action Localization with Multi-temporal Scales
Temporal action localization plays an important role in video analysis, which aims to localize and classify actions in untrimmed videos. The previous methods often predict actions on a feature space of a single-temporal …
Action ClassificationAction LocalizationAvgTemporal Action LocalizationDilated Context Integrated Network with Cross-Modal Consensus for Temporal Emotion Localization in Videos
Understanding human emotions is a crucial ability for intelligent robots to provide better human-robot interactions. The existing works are limited to trimmed video-level emotion classification, failing to locate the tem…
Action LocalizationEmotion ClassificationTemporal Action LocalizationWeakly-supervised LearningP2ANet: A Dataset and Benchmark for Dense Action Detection from Table Tennis Match Broadcasting Videos
While deep learning has been widely used for video analytics, such as video classification and action detection, dense action detection with fast-moving subjects from sports videos is still challenging. In this work, we …
Action DetectionAction LocalizationAction RecognitionVideo ClassificationHTNet: Anchor-free Temporal Action Localization with Hierarchical Transformers
Temporal action localization (TAL) is a task of identifying a set of actions in a video, which involves localizing the start and end frames and classifying each action instance. Existing methods have addressed this task …
Action LocalizationTemporal Action LocalizationForcing the Whole Video as Background: An Adversarial Learning Strategy for Weakly Temporal Action Localization
With video-level labels, weakly supervised temporal action localization (WTAL) applies a localization-by-classification paradigm to detect and classify the action in untrimmed videos. Due to the characteristic of classif…
Action LocalizationClassificationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationMVP: Robust Multi-View Practice for Driving Action Localization
Distracted driving causes thousands of deaths per year, and how to apply deep-learning methods to prevent these tragedies has become a crucial problem. In Track3 of the 6th AI City Challenge, researchers provide a high-q…
Action LocalizationExploring Temporally Dynamic Data Augmentation for Video Recognition
Data augmentation has recently emerged as an essential component of modern training recipes for visual recognition tasks. However, data augmentation for video recognition has been rarely explored despite its effectivenes…
Action LocalizationAction SegmentationData AugmentationImage Augmentation+4Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization
The main challenge of Temporal Action Localization is to retrieve subtle human actions from various co-occurring ingredients, e.g., context and background, in an untrimmed video. While prior approaches have achieved subs…
Action LocalizationTemporal Action LocalizationWeakly-Supervised Temporal Action Localization by Progressive Complementary Learning
Weakly Supervised Temporal Action Localization (WSTAL) aims to localize and classify action instances in long untrimmed videos with only video-level category labels. Due to the lack of snippet-level supervision for indic…
Action LocalizationMultiple Instance LearningRepresentation LearningTemporal Action Localization+2temporal driver action Localization using action classifications method
Driver distraction recognition is an essential computer vision task that can play a key role in increasing traffic safety and reducing traffic accidents. In this paper, we propose a temporal driver action localization (T…
Action ClassificationAction LocalizationTemporal Action Localization