Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Structured Attention Composition for Temporal Action Localization
Temporal action localization aims at localizing action instances from untrimmed videos. Existing works have designed various effective modules to precisely localize action instances based on appearance and motion feature…
Action DetectionAction LocalizationTemporal Action LocalizationEntity-aware and Motion-aware Transformers for Language-driven Action Localization in Videos
Language-driven action localization in videos is a challenging task that involves not only visual-linguistic matching but also action boundary prediction. Recent progress has been achieved through aligning language query…
Action LocalizationRepresentation LearningConvex Combination Consistency between Neighbors for Weakly-supervised Action Localization
Weakly-supervised temporal action localization (WTAL) intends to detect action instances with only weak supervision, e.g., video-level labels. The current~\textit{de facto} pipeline locates action instances by thresholdi…
Action LocalizationData AugmentationTemporal Action LocalizationVideo Classification+2Contrastive Language-Action Pre-training for Temporal Localization
Long-form video understanding requires designing approaches that are able to temporally localize activities or language. End-to-end training for such tasks is limited by the compute device memory constraints and lack of …
Action LocalizationContrastive LearningFew Shot Temporal Action LocalizationTemporal Action Localization+2E^2TAD: An Energy-Efficient Tracking-based Action Detector
Video action detection (spatio-temporal action localization) is usually the starting point for human-centric intelligent analysis of videos nowadays. It has high practical impacts for many applications across robotics, s…
Action DetectionAction LocalizationFine-Grained Action Detectionobject-detection+4Frequency Selective Augmentation for Video Representation Learning
Recent self-supervised video representation learning methods focus on maximizing the similarity between multiple augmented views from the same video and largely rely on the quality of generated views. However, most exist…
Action LocalizationAction RecognitionData AugmentationRepresentation Learning+2MM-SEAL: A Large-scale Video Dataset of Multi-person Multi-grained Spatio-temporally Action Localization
In this paper, we introduce a novel large-scale video dataset dubbed MM-SEAL for multi-person multi-grained spatio-temporal action localization among human daily life. We are the first to propose a new benchmark for mult…
Action LocalizationAction RecognitionSpatio-Temporal Action LocalizationTemporal Action Localization+1TALLFormer: Temporal Action Localization with a Long-memory Transformer
Most modern approaches in temporal action localization divide this problem into two parts: (i) short-term feature extraction and (ii) long-range temporal boundary localization. Due to the high GPU memory cost caused by p…
Action LocalizationAction RecognitionGPUTemporal Action LocalizationFine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization
We target at the task of weakly-supervised action localization (WSAL), where only video-level action labels are available during model training. Despite the recent progress, existing methods mainly embrace a localization…
Action LocalizationClassificationContrastive LearningInductive Bias+3Unsupervised Pre-training for Temporal Action Localization Tasks
Unsupervised video representation learning has made remarkable achievements in recent years. However, most existing methods are designed and optimized for video classification. These pre-trained models can be sub-optimal…
Action LocalizationContrastive LearningRepresentation LearningTemporal Action Localization+3LocATe: End-to-end Localization of Actions in 3D with Transformers
Understanding a person's behavior from their 3D motion is a fundamental problem in computer vision with many applications. An important component of this problem is 3D Temporal Action Localization (3D-TAL), which involve…
Action LocalizationAction Recognitionobject-detectionObject Detection+1Point3D: tracking actions as moving points with 3D CNNs
Spatio-temporal action recognition has been a challenging task that involves detecting where and when actions occur. Current state-of-the-art action detectors are mostly anchor-based, requiring sensitive anchor designs a…
Action ClassificationAction LocalizationAction RecognitionSpatio-temporal Action RecognitionOpenTAL: Towards Open Set Temporal Action Localization
Temporal Action Localization (TAL) has experienced remarkable success under the supervised learning paradigm. However, existing TAL methods are rooted in the closed set assumption, which cannot handle the inevitable unkn…
Action ClassificationAction LocalizationClassificationTemporal Action Localization+1Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation
Weakly supervised temporal action localization aims to localize temporal boundaries of actions and simultaneously identify their categories with only video-level category labels. Many existing methods seek to generate ps…
Action LocalizationPseudo LabelTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationWhen Did It Happen? Duration-informed Temporal Localization of Narrated Actions in Vlogs
We consider the task of temporal human action localization in lifestyle vlogs. We introduce a novel dataset consisting of manual annotations of temporal localization for 13,000 narrated actions in 1,200 video clips. We p…
Action LocalizationTemporal Action LocalizationTemporal LocalizationActionFormer: Localizing Moments of Actions with Transformers
Self-attention based Transformer models have demonstrated impressive results for image classification and object detection, and more recently for video understanding. Inspired by this success, we investigate the applicat…
Action LocalizationAction Recognitionaudio-visual event localizationDecoder+4OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos
Egocentric videos capture sequences of human activities from a first-person perspective and can provide rich multimodal signals. However, most current localization methods use third-person videos and only incorporate vis…
Action LocalizationTemporal Action LocalizationTemporal LocalizationTVNet: Temporal Voting Network for Action Localization
We propose a Temporal Voting Network (TVNet) for action localization in untrimmed videos. This incorporates a novel Voting Evidence Module to locate temporal boundaries, more accurately, where temporal contextual evidenc…
Action LocalizationExploring Denoised Cross-Video Contrast for Weakly-Supervised Temporal Action Localization
Weakly-supervised temporal action localization aims to localize actions in untrimmed videos with only video-level labels. Most existing methods address this problem with a "localization-by-classification" pipeline th…
Action LocalizationContrastive LearningDenoisingPseudo Label+3Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency
We address the problem of set-supervised action learning, whose goal is to learn an action segmentation model using weak supervision in the form of sets of actions occurring in training videos. Our key observation is…
Action LocalizationAction SegmentationPseudo LabelWeakly Supervised Action Segmentation (Action Set))