Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Multiscale Vision Transformers meet Bipartite Matching for efficient single-stage Action Localization
Action Localization is a challenging problem that combines detection and recognition tasks, which are often addressed separately. State-of-the-art methods rely on off-the-shelf bounding box detections pre-computed at hig…
Action LocalizationRevisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach
Weakly-supervised temporal action localization aims to localize action instances in videos with only video-level action labels. Existing methods mainly embrace a localization-by-classification pipeline that optimizes the…
Action LocalizationClassificationClusteringTemporal Action Localization+3SADA: Semantic adversarial unsupervised domain adaptation for Temporal Action Localization
Temporal Action Localization (TAL) is a complex task that poses relevant challenges, particularly when attempting to generalize on new -- unseen -- domains in real-world applications. These scenarios, despite realistic, …
Action DetectionAction LocalizationDomain AdaptationTemporal Action Localization+1Visual Self-paced Iterative Learning for Unsupervised Temporal Action Localization
Recently, temporal action localization (TAL) has garnered significant interest in information retrieval community. However, existing supervised/weakly supervised methods are heavily dependent on extensive labeled tempora…
Action LocalizationClusteringIncremental LearningInformation Retrieval+2ADM-Loc: Actionness Distribution Modeling for Point-supervised Temporal Action Localization
This paper addresses the challenge of point-supervised temporal action detection, in which only one frame per action instance is annotated in the training set. Self-training aims to provide supplementary supervision for …
Action ClassificationAction DetectionAction LocalizationClassification+1Temporal Action Localization for Inertial-based Human Activity Recognition
As of today, state-of-the-art activity recognition from wearable sensors relies on algorithms being trained to classify fixed windows of data. In contrast, video-based Human Activity Recognition, known as Temporal Action…
Action LocalizationActivity RecognitionHuman Activity RecognitionTemporal Action Localization+1GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation
We present MM-Navigator, a GPT-4V-based agent for the smartphone graphical user interface (GUI) navigation task. MM-Navigator can interact with a smartphone screen as human users, and determine subsequent actions to fulf…
Action LocalizationPOTLoc: Pseudo-Label Oriented Transformer for Point-Supervised Temporal Action Localization
This paper tackles the challenge of point-supervised temporal action detection, wherein only a single frame is annotated for each action instance in the training set. Most of the current methods, hindered by the sparse n…
Action DetectionAction LocalizationPseudo LabelTemporal Action Localization+1Guided Attention for Interpretable Motion Captioning
Diverse and extensive work has recently been conducted on text-conditioned human motion generation. However, progress in the reverse direction, motion captioning, has seen less comparable advancement. In this paper, we i…
Action LocalizationMotion CaptioningMotion GenerationSpatio-Temporal Video Grounding+1Proposal-based Temporal Action Localization with Point-level Supervision
Point-level supervised temporal action localization (PTAL) aims at recognizing and localizing actions in untrimmed videos where only a single point (frame) within every action instance is annotated in training data. With…
Action ClassificationAction LocalizationMultiple Instance LearningTemporal Action LocalizationMulti-Resolution Audio-Visual Feature Fusion for Temporal Action Localization
Temporal Action Localization (TAL) aims to identify actions' start, end, and class labels in untrimmed videos. While recent advancements using transformer networks and Feature Pyramid Networks (FPN) have enhanced visual …
Action LocalizationTemporal Action LocalizationBoundary-Aware Proposal Generation Method for Temporal Action Localization
The goal of Temporal Action Localization (TAL) is to find the categories and temporal boundaries of actions in an untrimmed video. Most TAL methods rely heavily on action recognition models that are sensitive to action l…
Action LocalizationAction RecognitionContrastive LearningTemporal Action LocalizationSurvey of Action Recognition, Spotting and Spatio-Temporal Localization in Soccer -- Current Trends and Research Perspectives
Action scene understanding in soccer is a challenging task due to the complex and dynamic nature of the game, as well as the interactions between players. This article provides a comprehensive overview of this task divid…
Action LocalizationAction RecognitionScene UnderstandingSpatio-Temporal Action Localization+2Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding
While most modern video understanding models operate on short-range clips, real-world videos are often several minutes long with semantically consistent segments of variable length. A common approach to process long vide…
Action LocalizationFormTemporal Action LocalizationVideo Classification+1Sub-action Prototype Learning for Point-level Weakly-supervised Temporal Action Localization
Point-level weakly-supervised temporal action localization (PWTAL) aims to localize actions with only a single timestamp annotation for each action instance. Existing methods tend to mine dense pseudo labels to alleviate…
Action LocalizationPseudo LabelTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationTemporal Action Localization with Enhanced Instant Discriminability
Temporal action detection (TAD) aims to detect all action boundaries and their corresponding categories in an untrimmed video. The unclear boundaries of actions in videos often result in imprecise predictions of action b…
Action DetectionAction LocalizationTemporal Action LocalizationCross-Video Contextual Knowledge Exploration and Exploitation for Ambiguity Reduction in Weakly Supervised Temporal Action Localization
Weakly supervised temporal action localization (WSTAL) aims to localize actions in untrimmed videos using video-level labels. Despite recent advances, existing approaches mainly follow a localization-by-classification pi…
Action LocalizationContrastive LearningSelf-LearningTemporal Action Localization+2HR-Pro: Point-supervised Temporal Action Localization via Hierarchical Reliability Propagation
Point-supervised Temporal Action Localization (PSTAL) is an emerging research direction for label-efficient learning. However, current methods mainly focus on optimizing the network either at the snippet-level or the ins…
Action LocalizationTemporal Action LocalizationWeakly Supervised Action LocalizationBenchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models
In temporal action localization, given an input video, the goal is to predict which actions it contains, where they begin, and where they end. Training and testing current state-of-the-art deep learning models requires a…
Action LocalizationBenchmarkingComputational EfficiencyTemporal Action LocalizationWeakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling
Weakly-supervised action localization aims to recognize and localize action instancese in untrimmed videos with only video-level labels. Most existing models rely on multiple instance learning(MIL), where the predictions…
Action LocalizationMultiple Instance LearningWeakly Supervised Action Localization