Papers Temporal Action Localization
“Temporal Action Localization” 태그가 달린 논문 1,503편 · 필터 해제
Sparse Covariance Neural Networks
Covariance Neural Networks (VNNs) perform graph convolutions on the covariance matrix of tabular data and achieve success in a variety of applications. However, the empirical covariance matrix on which the VNNs operate m…
Action RecognitionComputational EfficiencyTemporal Action LocalizationLS-HAR: Language Supervised Human Action Recognition with Salient Fusion, Construction Sites as a Use-Case
Detecting human actions is a crucial task for autonomous robots and vehicles, often requiring the integration of various data modalities for improved accuracy. In this study, we introduce a novel approach to Human Action…
Action RecognitionLanguage ModelingLanguage ModellingTemporal Action LocalizationSurgPETL: Parameter-Efficient Image-to-Surgical-Video Transfer Learning for Surgical Phase Recognition
Capitalizing on image-level pre-trained models for various downstream tasks has recently emerged with promising performance. However, the paradigm of "image pre-training followed by video fine-tuning" for high-dimensiona…
Action RecognitionSurgical phase recognitionTemporal Action LocalizationTemporal Sequences+1Cross-Model Cross-Stream Learning for Self-Supervised Human Action Recognition
Considering the instance-level discriminative ability, contrastive learning methods, including MoCo and SimCLR, have been adapted from the original image representation learning task to solve the self-supervised skeleton…
Action RecognitionContrastive LearningEnsemble LearningPseudo Label+5KAN-HyperpointNet for Point Cloud Sequence-Based 3D Human Action Recognition
Point cloud sequence-based 3D action recognition has achieved impressive performance and efficiency. However, existing point cloud sequence modeling methods cannot adequately balance the precision of limb micro-movements…
3D Action RecognitionAction RecognitionKolmogorov-Arnold NetworksTemporal Action LocalizationReal-Time Human Action Recognition on Embedded Platforms
With advancements in computer vision and deep learning, video-based human action recognition (HAR) has become practical. However, due to the complexity of the computation pipeline, running HAR on live video streams incur…
Action RecognitionOptical Flow EstimationTemporal Action LocalizationSITAR: Semi-supervised Image Transformer for Action Recognition
Recognizing actions from a limited set of labeled videos remains a challenge as annotating visual data is not only tedious but also can be expensive due to classified nature. Moreover, handling spatio-temporal data using…
Action RecognitionContrastive LearningTemporal Action LocalizationFisher Information guided Purification against Backdoor Attacks
Studies on backdoor attacks in recent years suggest that an adversary can compromise the integrity of a deep neural network (DNN) by manipulating a small set of training samples. Our analysis shows that such manipulation…
Action Recognitionbackdoor defenseobject-detectionObject Detection+2Open-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 DetectionText-Enhanced Zero-Shot Action Recognition: A training-free approach
Vision-language models (VLMs) have demonstrated remarkable performance across various visual tasks, leveraging joint learning of visual and textual representations. While these models excel in zero-shot image tasks, thei…
Action RecognitionTemporal Action LocalizationZero-Shot Action RecognitionTowards 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 LocalizationHabitAction: A Video Dataset for Human Habitual Behavior Recognition
Human Action Recognition (HAR) is a very crucial task in computer vision. It helps to carry out a series of downstream tasks, like understanding human behaviors. Due to the complexity of human behaviors, many highly valu…
Action RecognitionTemporal Action LocalizationTDS-CLIP: Temporal Difference Side Network for Image-to-Video Transfer Learning
Recently, large-scale pre-trained vision-language models (e.g., CLIP), have garnered significant attention thanks to their powerful representative capabilities. This inspires researchers in transferring the knowledge fro…
Action Recognitionparameter-efficient fine-tuningTemporal Action LocalizationTransfer LearningEvent Stream based Human Action Recognition: A High-Definition Benchmark Dataset and Algorithms
Human Action Recognition (HAR) stands as a pivotal research domain in both computer vision and artificial intelligence, with RGB cameras dominating as the preferred tool for investigation and innovation in this field. Ho…
Action RecognitionMambaTemporal Action LocalizationJoint Temporal Pooling for Improving Skeleton-based Action Recognition
In skeleton-based human action recognition, temporal pooling is a critical step for capturing spatiotemporal relationship of joint dynamics. Conventional pooling methods overlook the preservation of motion information an…
Action RecognitionSkeleton Based Action RecognitionTemporal Action LocalizationFlatten: Video Action Recognition is an Image Classification task
In recent years, video action recognition, as a fundamental task in the field of video understanding, has been deeply explored by numerous researchers.Most traditional video action recognition methods typically involve c…
Action Recognitionimage-classificationImage ClassificationTemporal Action Localization+1Probabilistic 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 UnderstandingEPAM-Net: An Efficient Pose-driven Attention-guided Multimodal Network for Video Action Recognition
Existing multimodal-based human action recognition approaches are either computationally expensive, which limits their applicability in real-time scenarios, or fail to exploit the spatial temporal information of multiple…
Action ClassificationAction RecognitionAction Recognition In VideosTemporal Action Localization