Papers Repetitive Action Counting
“Repetitive Action Counting” 태그가 달린 논문 14편 · 필터 해제
CountLLM: Towards Generalizable Repetitive Action Counting via Large Language Model
Repetitive action counting, which aims to count periodic movements in a video, is valuable for video analysis applications such as fitness monitoring. However, existing methods largely rely on regression networks with li…
Language ModelingLanguage ModellingLarge Language ModelRepetitive Action CountingLocalization-Aware Multi-Scale Representation Learning for Repetitive Action Counting
Repetitive action counting (RAC) aims to estimate the number of class-agnostic action occurrences in a video without exemplars. Most current RAC methods rely on a raw frame-to-frame similarity representation for period p…
Repetitive Action CountingRepresentation LearningRepetitive Action Counting with Hybrid Temporal Relation Modeling
Repetitive Action Counting (RAC) aims to count the number of repetitive actions occurring in videos. In the real world, repetitive actions have great diversity and bring numerous challenges (e.g., viewpoint changes, non-…
RelationRepetitive Action CountingA Short Note on Evaluating RepNet for Temporal Repetition Counting in Videos
We discuss some consistent issues on how RepNet has been evaluated in various papers. As a way to mitigate these issues, we report RepNet performance results on different datasets, and release evaluation code and the Rep…
Repetitive Action CountingMultiCounter: Multiple Action Agnostic Repetition Counting in Untrimmed Videos
Multi-instance Repetitive Action Counting (MRAC) aims to estimate the number of repetitive actions performed by multiple instances in untrimmed videos, commonly found in human-centric domains like sports and exercise. In…
GPURepetitive Action CountingGMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action Counting
With the continuous development of deep learning, the field of repetitive action counting is gradually gaining notice from many researchers. Extraction of pose keypoints using human pose estimation networks is proven to …
Pose EstimationRepetitive Action CountingSemantic SimilaritySemantic Textual SimilarityRethinking temporal self-similarity for repetitive action counting
Counting repetitive actions in long untrimmed videos is a challenging task that has many applications such as rehabilitation. State-of-the-art methods predict action counts by first generating a temporal self-similarity …
Repetitive Action CountingFCA-RAC: First Cycle Annotated Repetitive Action Counting
Repetitive action counting quantifies the frequency of specific actions performed by individuals. However, existing action-counting datasets have limited action diversity, potentially hampering model performance on unsee…
Repetitive Action CountingSkim then Focus: Integrating Contextual and Fine-grained Views for Repetitive Action Counting
The key to action counting is accurately locating each video's repetitive actions. Instead of estimating the probability of each frame belonging to an action directly, we propose a dual-branch network, i.e., SkimFocusNet…
Repetitive Action CountingEvery Shot Counts: Using Exemplars for Repetition Counting in Videos
Video repetition counting infers the number of repetitions of recurring actions or motion within a video. We propose an exemplar-based approach that discovers visual correspondence of video exemplars across repetitions w…
DecoderExemplar-FreeRepetitive Action CountingAdvancements in Repetitive Action Counting: Joint-Based PoseRAC Model With Improved Performance
Repetitive counting (RepCount) is critical in various applications, such as fitness tracking and rehabilitation. Previous methods have relied on the estimation of red-green-and-blue (RGB) frames and body pose landmarks t…
Repetitive Action CountingPoseRAC: Pose Saliency Transformer for Repetitive Action Counting
This paper presents a significant contribution to the field of repetitive action counting through the introduction of a new approach called Pose Saliency Representation. The proposed method efficiently represents each ac…
GPURepetitive Action CountingTransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting
Counting repetitive actions are widely seen in human activities such as physical exercise. Existing methods focus on performing repetitive action counting in short videos, which is tough for dealing with longer videos in…
Repetitive Action CountingCounting Out Time: Class Agnostic Video Repetition Counting in the Wild
We present an approach for estimating the period with which an action is repeated in a video. The crux of the approach lies in constraining the period prediction module to use temporal self-similarity as an intermediate …
Repetitive Action Counting