Papers Object State Change Classification
“Object State Change Classification” 태그가 달린 논문 9편 · 필터 해제
Anticipating Object State Changes in Long Procedural Videos
In this work, we introduce (a) the new problem of anticipating object state changes in images and videos during procedural activities, (b) new curated annotation data for object state change classification based on the E…
ObjectObject State Change ClassificationScene UnderstandingVideo UnderstandingEVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal Tokens
Masked Video Autoencoder (MVA) approaches have demonstrated their potential by significantly outperforming previous video representation learning methods. However, they waste an excessive amount of computations and memor…
Action RecognitionObject State Change ClassificationObject State Change Classification on Ego4DRepresentation Learning+3Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022
In this report, we present our approach and empirical results of applying masked autoencoders in two egocentric video understanding tasks, namely, Object State Change Classification and PNR Temporal Localization, of Ego4…
Object State Change ClassificationTemporal LocalizationVideo UnderstandingExploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 2022
Capturing the state changes of interacting objects is a key technology for understanding human-object interactions. This technical report describes our method using heterogeneous backbones for the Ego4D Object State Chan…
Human-Object Interaction DetectionObjectObject State Change ClassificationTemporal Localization+1Learning State-Aware Visual Representations from Audible Interactions
We propose a self-supervised algorithm to learn representations from egocentric video data. Recently, significant efforts have been made to capture humans interacting with their own environments as they go about their da…
Action AnticipationAction RecognitionLong Term Action AnticipationObject State Change Classification+1Object State Change Classification in Egocentric Videos using the Divided Space-Time Attention Mechanism
This report describes our submission called "TarHeels" for the Ego4D: Object State Change Classification Challenge. We use a transformer-based video recognition model and leverage the Divided Space-Time Attention mechani…
ObjectObject State Change ClassificationVideo RecognitionVideo Swin Transformers for Egocentric Video Understanding @ Ego4D Challenges 2022
We implemented Video Swin Transformer as a base architecture for the tasks of Point-of-No-Return temporal localization and Object State Change Classification. Our method achieved competitive performance on both challenge…
ObjectObject State Change ClassificationTemporal LocalizationVideo UnderstandingEgocentric Video-Language Pretraining @ Ego4D Challenge 2022
In this report, we propose a video-language pretraining (VLP) based solution \cite{kevin2022egovlp} for four Ego4D challenge tasks, including Natural Language Query (NLQ), Moment Query (MQ), Object State Change Classific…
Language ModelingLanguage ModellingObject State Change ClassificationEgocentric Video-Language Pretraining
Video-Language Pretraining (VLP), which aims to learn transferable representation to advance a wide range of video-text downstream tasks, has recently received increasing attention. Best performing works rely on large-sc…
Action RecognitionContrastive LearningMoment QueriesMulti-Instance Retrieval+9