Papers Temporal Action Localization
“Temporal Action Localization” 태그가 달린 논문 1,503편 · 필터 해제
Online 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 LocalizationEnhancing Human Action Recognition and Violence Detection Through Deep Learning Audiovisual Fusion
This paper proposes a hybrid fusion-based deep learning approach based on two different modalities, audio and video, to improve human activity recognition and violence detection in public places. To take advantage of aud…
Action RecognitionActivity RecognitionHuman Activity RecognitionTemporal Action LocalizationC3T: Cross-modal Transfer Through Time for Sensor-based Human Activity Recognition
In order to unlock the potential of diverse sensors, we investigate a method to transfer knowledge between time-series modalities using a multimodal \textit{temporal} representation space for Human Activity Recognition (…
Action RecognitionActivity RecognitionHuman Activity RecognitionTemporal Action Localization+1Semi-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 OdometryLORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition
The complexity of state-of-the-art Transformer-based models for skeleton-based action recognition poses significant challenges in terms of computational efficiency and resource utilization. In this paper, we explore the …
Action RecognitionComputational EfficiencyModel CompressionSkeleton Based Action Recognition+1Enhancing 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+1Augmented Neural Fine-Tuning for Efficient Backdoor Purification
Recent studies have revealed the vulnerability of deep neural networks (DNNs) to various backdoor attacks, where the behavior of DNNs can be compromised by utilizing certain types of triggers or poisoning mechanisms. Sta…
Action RecognitionData Augmentationimage-classificationImage Classification+3Full-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 LocalizationEA-VTR: Event-Aware Video-Text Retrieval
Understanding the content of events occurring in the video and their inherent temporal logic is crucial for video-text retrieval. However, web-crawled pre-training datasets often lack sufficient event information, and th…
Action RecognitionContrastive Learningcross-modal alignmentMoment Retrieval+6Exploring 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 LocalizationAWT: Transferring Vision-Language Models via Augmentation, Weighting, and Transportation
Pre-trained vision-language models (VLMs) have shown impressive results in various visual classification tasks. However, we often fail to fully unleash their potential when adapting them for new concept understanding due…
Action RecognitionFew-Shot Image ClassificationFew-Shot Learningimage-classification+3DyFADet: Dynamic Feature Aggregation for Temporal Action Detection
Recent proposed neural network-based Temporal Action Detection (TAD) models are inherently limited to extracting the discriminative representations and modeling action instances with various lengths from complex scenes b…
Action DetectionDynamic neural networksTemporal 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+3Advancing Compressed Video Action Recognition through Progressive Knowledge Distillation
Compressed video action recognition classifies video samples by leveraging the different modalities in compressed videos, namely motion vectors, residuals, and intra-frames. For this purpose, three neural networks are de…
Action RecognitionKnowledge DistillationTemporal Action LocalizationTransfer LearningMask and Compress: Efficient Skeleton-based Action Recognition in Continual Learning
The use of skeletal data allows deep learning models to perform action recognition efficiently and effectively. Herein, we believe that exploring this problem within the context of Continual Learning is crucial. While nu…
Action RecognitionContinual LearningHuman Activity RecognitionSkeleton Based Action Recognition+1Snakes and Ladders: Two Steps Up for VideoMamba
Video understanding requires the extraction of rich spatio-temporal representations, which transformer models achieve through self-attention. Unfortunately, self-attention poses a computational burden. In NLP, Mamba has …
Action RecognitionMambaTemporal Action LocalizationVideo UnderstandingThe Surprising Effectiveness of Multimodal Large Language Models for Video Moment Retrieval
Recent studies have shown promising results in utilizing multimodal large language models (MLLMs) for computer vision tasks such as object detection and semantic segmentation. However, many challenging video tasks remain…
Action LocalizationMoment RetrievalNatural Language Moment Retrievalobject-detection+4Expressive Keypoints for Skeleton-based Action Recognition via Skeleton Transformation
In the realm of skeleton-based action recognition, the traditional methods which rely on coarse body keypoints fall short of capturing subtle human actions. In this work, we propose Expressive Keypoints that incorporates…
Action RecognitionSkeleton Based Action RecognitionTemporal Action Localization