Papers Temporal Action Localization
“Temporal Action Localization” 태그가 달린 논문 1,503편 · 필터 해제
Generalized Uncertainty-Based Evidential Fusion with Hybrid Multi-Head Attention for Weak-Supervised Temporal Action Localization
Weakly supervised temporal action localization (WS-TAL) is a task of targeting at localizing complete action instances and categorizing them with video-level labels. Action-background ambiguity, primarily caused by backg…
Action LocalizationOptical Flow EstimationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationVideo Domain Incremental Learning for Human Action Recognition in Home Environments
It is significantly challenging to recognize daily human actions in homes due to the diversity and dynamic changes in unconstrained home environments. It spurs the need to continually adapt to various users and scenes. F…
Action Recognitionclass-incremental learningClass Incremental LearningContinual Learning+3Future Aspects in Human Action Recognition: Exploring Emerging Techniques and Ethical Influences
Visual-based human action recognition can be found in various application fields, e.g., surveillance systems, sports analytics, medical assistive technologies, or human-robot interaction frameworks, and it concerns the i…
Action RecognitionSports AnalyticsTemporal Action LocalizationTemporal Action Localization with Cross Layer Task Decoupling and Refinement
Temporal action localization (TAL) involves dual tasks to classify and localize actions within untrimmed videos. However, the two tasks often have conflicting requirements for features. Existing methods typically employ …
Action ClassificationAction LocalizationTemporal Action LocalizationSkelMamba: A State Space Model for Efficient Skeleton Action Recognition of Neurological Disorders
We introduce a novel state-space model (SSM)-based framework for skeleton-based human action recognition, with an anatomically-guided architecture that improves state-of-the-art performance in both clinical diagnostics a…
Action RecognitionMedical DiagnosisTemporal Action LocalizationAn End-to-End Two-Stream Network Based on RGB Flow and Representation Flow for Human Action Recognition
With the rapid advancements in deep learning, computer vision tasks have seen significant improvements, making two-stream neural networks a popular focus for video based action recognition. Traditional models using RGB a…
Action RecognitionOptical Flow EstimationTemporal Action LocalizationOccludeNet: A Causal Journey into Mixed-View Actor-Centric Video Action Recognition under Occlusions
The lack of occlusion data in commonly used action recognition video datasets limits model robustness and impedes sustained performance improvements. We construct OccludeNet, a large-scale occluded video dataset that inc…
Action ClassificationAction RecognitionCausal Inferencecounterfactual+5Multilevel 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+2Adaptive Hyper-Graph Convolution Network for Skeleton-based Human Action Recognition with Virtual Connections
The shared topology of human skeletons motivated the recent investigation of graph convolutional network (GCN) solutions for action recognition. However, the existing GCNs rely on the binary connection of two neighbourin…
Action RecognitionTemporal Action LocalizationWhen Spatial meets Temporal in Action Recognition
Video action recognition has made significant strides, but challenges remain in effectively using both spatial and temporal information. While existing methods often focus on either spatial features (e.g., object appeara…
Action RecognitionTemporal Action LocalizationEfficient Transfer Learning for Video-language Foundation Models
Pre-trained vision-language models provide a robust foundation for efficient transfer learning across various downstream tasks. In the field of video action recognition, mainstream approaches often introduce additional p…
Action RecognitionFew-Shot LearningGeneral KnowledgeTemporal Action Localization+1Can 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 LocalizationExtended multi-stream temporal-attention module for skeleton-based human action recognition (HAR)
Graph convolutional networks (GCNs) are an effective skeleton-based human action recognition (HAR) technique. GCNs enable the specification of CNNs to a non-Euclidean frame that is more flexible. The previous GCN-based m…
Action RecognitionTemporal Action LocalizationHuman Action Recognition (HAR) Using Skeleton-based Spatial Temporal Relative Transformer Network: ST-RTR
Human Action Recognition (HAR) is an interesting research area in human-computer interaction used to monitor the activities of elderly and disabled individuals affected by physical and mental health. In the recent era, s…
Action RecognitionTemporal Action LocalizationUnsupervised Domain Adaptation for Action Recognition via Self-Ensembling and Conditional Embedding Alignment
Recent advancements in deep learning-based wearable human action recognition (wHAR) have improved the capture and classification of complex motions, but adoption remains limited due to the lack of expert annotations and …
Action RecognitionData AugmentationDomain AdaptationPseudo Label+2SpikMamba: When SNN meets Mamba in Event-based Human Action Recognition
Human action recognition (HAR) plays a key role in various applications such as video analysis, surveillance, autonomous driving, robotics, and healthcare. Most HAR algorithms are developed from RGB images, which capture…
Action RecognitionAutonomous DrivingMambaTemporal Action LocalizationImproving the Multi-label Atomic Activity Recognition by Robust Visual Feature and Advanced Attention @ ROAD++ Atomic Activity Recognition 2024
Road++ Track3 proposes a multi-label atomic activity recognition task in traffic scenarios, which can be standardized as a 64-class multi-label video action recognition task. In the multi-label atomic activity recognitio…
Action RecognitionActivity RecognitionTemporal Action LocalizationStoryboard guided Alignment for Fine-grained Video Action Recognition
Fine-grained video action recognition can be conceptualized as a video-text matching problem. Previous approaches often rely on global video semantics to consolidate video embeddings, which can lead to misalignment in vi…
Action RecognitionLanguage ModellingLarge Language ModelTemporal Action Localization+1Multi class activity classification in videos using Motion History Image generation
Human action recognition has been a topic of interest across multiple fields ranging from security to entertainment systems. Tracking the motion and identifying the action being performed on a real time basis is necessar…
Action ClassificationAction RecognitionImage GenerationTemporal Action LocalizationSaliency-Guided DETR for Moment Retrieval and Highlight Detection
Existing approaches for video moment retrieval and highlight detection are not able to align text and video features efficiently, resulting in unsatisfying performance and limited production usage. To address this, we pr…
Highlight DetectionMoment RetrievalNatural Language Moment RetrievalNatural Language Queries+3