Papers Action Classification
“Action Classification” 태그가 달린 논문 485편 · 필터 해제
FACTS: Fine-Grained Action Classification for Tactical Sports
Classifying fine-grained actions in fast-paced, close-combat sports such as fencing and boxing presents unique challenges due to the complexity, speed, and nuance of movements. Traditional methods reliant on pose estimat…
Action ClassificationAction RecognitionClassificationFine-grained Action Recognition+2Stitch Contrast and Segment_Learning a Human Action Segmentation Model Using Trimmed Skeleton Videos
Existing skeleton-based human action classification models rely on well-trimmed action-specific skeleton videos for both training and testing, precluding their scalability to real-world applications where untrimmed video…
Action ClassificationAction LocalizationAction SegmentationSegmentation+1Scaling 4D Representations
Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x2013}$ action classification, ImageNet cla…
Action ClassificationCamera Pose EstimationDepth EstimationObject Tracking+2Temporal 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 LocalizationMining Limited Data Sufficiently: A BERT-inspired Approach for CSI Time Series Application in Wireless Communication and Sensing
Channel State Information (CSI) is the cornerstone in both wireless communication and sensing systems. In wireless communication systems, CSI provides essential insights into channel conditions, enabling system optimizat…
Action ClassificationDeep LearningGesture RecognitionPerson Identification+2KNN-MMD: Cross Domain Wireless Sensing via Local Distribution Alignment
Wireless sensing has recently found widespread applications in diverse environments, including homes, offices, and public spaces. By analyzing patterns in channel state information (CSI), it is possible to infer human ac…
Action ClassificationAction Classification (1-shot)Action RecognitionDomain Adaptation+6Proximal Control of UAVs with Federated Learning for Human-Robot Collaborative Domains
The human-robot interaction (HRI) is a growing area of research. In HRI, complex command (action) classification is still an open problem that usually prevents the real applicability of such a technique. The literature p…
Action ClassificationAction RecognitionFederated LearningTowards Universal Soccer Video Understanding
As a globally celebrated sport, soccer has attracted widespread interest from fans all over the world. This paper aims to develop a comprehensive multi-modal framework for soccer video understanding. Specifically, we mak…
Action ClassificationSports UnderstandingVideo UnderstandingOccludeNet: 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+2ACE: Action Concept Enhancement of Video-Language Models in Procedural Videos
Vision-language models (VLMs) are capable of recognizing unseen actions. However, existing VLMs lack intrinsic understanding of procedural action concepts. Hence, they overfit to fixed labels and are not invariant to uns…
Action ClassificationClassificationIMUVIE: 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 HandlingPerson Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors
Robots need to perceive persons in their surroundings for safety and to interact with them. In this paper, we present a person segmentation and action classification approach that operates on 3D scans of hemisphere field…
Action ClassificationSegmentationAutoregressive Adaptive Hypergraph Transformer for Skeleton-based Activity Recognition
Extracting multiscale contextual information and higher-order correlations among skeleton sequences using Graph Convolutional Networks (GCNs) alone is inadequate for effective action classification. Hypergraph convolutio…
Action ClassificationActivity RecognitionAM Flow: Adapters for Temporal Processing in Action Recognition
Deep learning models, in particular \textit{image} models, have recently gained generalisability and robustness. %are becoming more general and robust by the day. In this work, we propose to exploit such advances in the …
Action ClassificationAction RecognitionTransfer LearningVideo ClassificationLearning Video Representations without Natural Videos
We show that useful video representations can be learned from synthetic videos and natural images, without incorporating natural videos in the training. We propose a progression of video datasets synthesized by simple ge…
Action ClassificationDiversityYourSkatingCoach: A Figure Skating Video Benchmark for Fine-Grained Element Analysis
Combining sports and machine learning involves leveraging ML algorithms and techniques to extract insight from sports-related data such as player statistics, game footage, and other relevant information. However, dataset…
Action ClassificationAre Visual-Language Models Effective in Action Recognition? A Comparative Study
Current vision-language foundation models, such as CLIP, have recently shown significant improvement in performance across various downstream tasks. However, whether such foundation models significantly improve more comp…
Action ClassificationAction RecognitionFine-grained Action RecognitionDual-Model Distillation for Efficient Action Classification with Hybrid Edge-Cloud Solution
As Artificial Intelligence models, such as Large Video-Language models (VLMs), grow in size, their deployment in real-world applications becomes increasingly challenging due to hardware limitations and computational cost…
Action ClassificationMulti 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 Localization