Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Multilevel semantic and adaptive actionness learning for weakly supervised temporal action localization
Weakly supervised temporal action localization aims to identify and localize action instances in untrimmed videos with only video-level labels. Typically, most methods are based on a multiple instance learning framework …
Action ClassificationAction LocalizationMultiple Instance LearningTemporal Action Localization+2Rethinking Top Probability from Multi-view for Distracted Driver Behaviour Localization
Naturalistic driving action localization task aims to recognize and comprehend human behaviors and actions from video data captured during real-world driving scenarios. Previous studies have shown great action localizati…
Action LocalizationAction RecognitionIMUVIE: Pickup Timeline Action Localization via Motion Movies
Falls among seniors due to difficulties with tasks such as picking up objects pose significant health and safety risks, impacting quality of life and independence. Reliable, accessible assessment tools are critical for e…
Action ClassificationAction LocalizationOcclusion HandlingCan MLLMs Guide Weakly-Supervised Temporal Action Localization Tasks?
Recent breakthroughs in Multimodal Large Language Models (MLLMs) have gained significant recognition within the deep learning community, where the fusion of the Video Foundation Models (VFMs) and Large Language Models(LL…
Action LocalizationTemporal Action LocalizationVideo UnderstandingWeakly-supervised Temporal Action LocalizationZero-shot Action Localization via the Confidence of Large Vision-Language Models
Precise action localization in untrimmed video is vital for fields such as professional sports and minimally invasive surgery, where the delineation of particular motions in recordings can dramatically enhance analysis. …
Action LocalizationLanguage ModellingLarge Language ModelQuestion Answering+2Transformer with Controlled Attention for Synchronous Motion Captioning
In this paper, we address a challenging task, synchronous motion captioning, that aim to generate a language description synchronized with human motion sequences. This task pertains to numerous applications, such as alig…
Action LocalizationAction SegmentationMotion CaptioningPhrase Grounding+4Unified Framework with Consistency across Modalities for Human Activity Recognition
Recognizing human activities in videos is challenging due to the spatio-temporal complexity and context-dependence of human interactions. Prior studies often rely on single input modalities, such as RGB or skeletal data,…
Action LocalizationActivity RecognitionGroup Activity RecognitionHuman Activity RecognitionOpen-Vocabulary Action Localization with Iterative Visual Prompting
Video action localization aims to find the timings of specific actions from a long video. Although existing learning-based approaches have been successful, they require annotating videos, which comes with a considerable …
Action LocalizationTemporal Action LocalizationVisual PromptingZero-Shot Action DetectionTowards Completeness: A Generalizable Action Proposal Generator for Zero-Shot Temporal Action Localization
To address the zero-shot temporal action localization (ZSTAL) task, existing works develop models that are generalizable to detect and classify actions from unseen categories. They typically develop a category-agnostic a…
Action LocalizationTemporal Action LocalizationFMI-TAL: Few-shot Multiple Instances Temporal Action Localization by Probability Distribution Learning and Interval Cluster Refinement
The present few-shot temporal action localization model can't handle the situation where videos contain multiple action instances. So the purpose of this paper is to achieve manifold action instances localization in a le…
Action LocalizationFew Shot Temporal Action LocalizationTemporal Action LocalizationProbabilistic Vision-Language Representation for Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WTAL) aims to detect action instances in untrimmed videos using only video-level annotations. Since many existing works optimize WTAL models based on action classification …
Action ClassificationAction LocalizationContrastive LearningTemporal Action Localization+1HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization
Online video understanding often relies on individual frames, leading to frame-by-frame predictions. Recent advancements such as Online Temporal Action Localization (OnTAL), extend this approach to instance-level predict…
Action LocalizationTemporal Action LocalizationVideo UnderstandingOnline Temporal Action Localization with Memory-Augmented Transformer
Online temporal action localization (On-TAL) is the task of identifying multiple action instances given a streaming video. Since existing methods take as input only a video segment of fixed size per iteration, they are l…
Action LocalizationTemporal Action LocalizationSemi-Supervised Pipe Video Temporal Defect Interval Localization
In sewer pipe Closed-Circuit Television (CCTV) inspection, accurate temporal defect localization is essential for effective defect classification, detection, segmentation and quantification. Industry standards typically …
Action LocalizationTemporal Action LocalizationTemporal Defect LocalizationVisual OdometryEnhancing Temporal Action Localization: Advanced S6 Modeling with Recurrent Mechanism
Temporal Action Localization (TAL) is a critical task in video analysis, identifying precise start and end times of actions. Existing methods like CNNs, RNNs, GCNs, and Transformers have limitations in capturing long-ran…
Action LocalizationTemporal Action LocalizationActionSwitch: Class-agnostic Detection of Simultaneous Actions in Streaming Videos
Online Temporal Action Localization (On-TAL) is a critical task that aims to instantaneously identify action instances in untrimmed streaming videos as soon as an action concludes -- a major leap from frame-based Online …
Action DetectionAction LocalizationDecision MakingOnline Action Detection+1Full-Stage Pseudo Label Quality Enhancement for Weakly-supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (WSTAL) aims to localize actions in untrimmed videos using only video-level supervision. Latest WSTAL methods introduce pseudo label learning framework to bridge the gap bet…
Action LocalizationContrastive LearningPseudo LabelTemporal Action Localization+1Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization
Alleviating noisy pseudo labels remains a key challenge in Semi-Supervised Temporal Action Localization (SS-TAL). Existing methods often filter pseudo labels based on strict conditions, but they typically assess classifi…
Action LocalizationPseudo LabelTemporal Action LocalizationExploring Scalability of Self-Training for Open-Vocabulary Temporal Action Localization
The vocabulary size in temporal action localization (TAL) is limited by the scarcity of large-scale annotated datasets. To overcome this, recent works integrate vision-language models (VLMs), such as CLIP, for open-vocab…
Action LocalizationTemporal Action LocalizationReferring Atomic Video Action Recognition
We introduce a new task called Referring Atomic Video Action Recognition (RAVAR), aimed at identifying atomic actions of a particular person based on a textual description and the video data of this person. This task dif…
Action LocalizationAction RecognitionQuestion AnsweringReferring Expression+3