Papers Action Localization
“Action Localization” 태그가 달린 논문 369편 · 필터 해제
Everything at Once - Multi-Modal Fusion Transformer for Video Retrieval
Multi-modal learning from video data has seen increased attention recently as it allows training of semantically meaningful embeddings without human annotation, enabling tasks like zero-shot retrieval and action loca…
Action LocalizationRetrievalVideo RetrievalZero-Shot Video RetrievalACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization
Weakly-supervised temporal action localization (WTAL) in untrimmed videos has emerged as a practical but challenging task since only video-level labels are available. Existing approaches typically leverage off-the-shelf …
Action LocalizationTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationTemporal Action Proposal Generation with Background Constraint
Temporal action proposal generation (TAPG) is a challenging task that aims to locate action instances in untrimmed videos with temporal boundaries. To evaluate the confidence of proposals, the existing works typically pr…
Action LocalizationTemporal Action LocalizationTemporal Action Proposal GenerationSelf-supervised Spatiotemporal Representation Learning by Exploiting Video Continuity
Recent self-supervised video representation learning methods have found significant success by exploring essential properties of videos, e.g. speed, temporal order, etc. This work exploits an essential yet under-explored…
Action LocalizationAction RecognitionRepresentation LearningRetrieval+1Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision
Modern self-supervised learning algorithms typically enforce persistency of instance representations across views. While being very effective on learning holistic image and video representations, such an objective become…
Action LocalizationAction RecognitionContrastive LearningObject Tracking+3Everything at Once -- Multi-modal Fusion Transformer for Video Retrieval
Multi-modal learning from video data has seen increased attention recently as it allows to train semantically meaningful embeddings without human annotation enabling tasks like zero-shot retrieval and classification. In …
Action LocalizationRetrievalVideo RetrievalZero-Shot Video RetrievalLow-Fidelity Video Encoder Optimization for Temporal Action Localization
Most existing temporal action localization (TAL) methods rely on a transfer learning pipeline: by first optimizing a video encoder on a large action classification dataset (i.e., source domain), followed by freezing the …
Action ClassificationAction LocalizationGPUOptical Flow Estimation+2Graph Convolutional Module for Temporal Action Localization in Videos
Temporal action localization has long been researched in computer vision. Existing state-of-the-art action localization methods divide each video into multiple action units (i.e., proposals in two-stage methods and segme…
Action LocalizationAction RecognitionTemporal Action LocalizationBackground-Click Supervision for Temporal Action Localization
Weakly supervised temporal action localization aims at learning the instance-level action pattern from the video-level labels, where a significant challenge is action-context confusion. To overcome this challenge, one re…
Action LocalizationPositionTemporal Action LocalizationWeakly-supervised Temporal Action LocalizationUnsupervised Action Localization Crop in Video Retargeting for 3D ConvNets
Untrimmed videos on social media or those captured by robots and surveillance cameras are of varied aspect ratios. However, 3D CNNs usually require as input a square-shaped video, whose spatial dimension is smaller than …
Action LocalizationVideo ClassificationVideo-to-Video SynthesisTowards Active Vision for Action Localization with Reactive Control and Predictive Learning
Visual event perception tasks such as action localization have primarily focused on supervised learning settings under a static observer, i.e., the camera is static and cannot be controlled by an algorithm. They are ofte…
Action LocalizationDiversityObject TrackingKORSAL: Key-point Detection based Online Real-Time Spatio-Temporal Action Localization
Real-time and online action localization in a video is a critical yet highly challenging problem. Accurate action localization requires the utilization of both temporal and spatial information. Recent attempts achieve th…
Action LocalizationOptical Flow EstimationSpatio-Temporal Action LocalizationTemporal Action LocalizationDiagnosing Errors in Video Relation Detectors
Video relation detection forms a new and challenging problem in computer vision, where subjects and objects need to be localized spatio-temporally and a predicate label needs to be assigned if and only if there is an int…
Action LocalizationDiagnosticObjectobject-detection+2Few-Shot Temporal Action Localization with Query Adaptive Transformer
Existing temporal action localization (TAL) works rely on a large number of training videos with exhaustive segment-level annotation, preventing them from scaling to new classes. As a solution to this problem, few-shot T…
Action LocalizationAction SegmentationFew Shot Temporal Action LocalizationFine-Grained Action Detection+3You Ought to Look Around: Precise, Large Span Action Detection
For the action localization task, pre-defined action anchors are the cornerstone of mainstream techniques. State-of-the-art models mostly rely on a dense segmenting scheme, where anchors are sampled uniformly over the te…
Action DetectionAction LocalizationTemporal Action Localization with Global Segmentation Mask Transformers
Inspired by the promising results of Transformers in object detection in images, it is interesting to formulate Transformer based methods for temporal action localization (TAL) in videos. Nonetheless, this is non-trivial…
Action LocalizationObjectobject-detectionObject Detection+1VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding
We present VideoCLIP, a contrastive approach to pre-train a unified model for zero-shot video and text understanding, without using any labels on downstream tasks. VideoCLIP trains a transformer for video and text by con…
Action LocalizationAction SegmentationLong Video Retrieval (Background Removed)Retrieval+4A Survey on Temporal Sentence Grounding in Videos
Temporal sentence grounding in videos(TSGV), which aims to localize one target segment from an untrimmed video with respect to a given sentence query, has drawn increasing attentions in the research community over the pa…
Action LocalizationBenchmarkingSentenceSurvey+2Class Semantics-based Attention for Action Detection
Action localization networks are often structured as a feature encoder sub-network and a localization sub-network, where the feature encoder learns to transform an input video to features that are useful for the localiza…
Action DetectionAction LocalizationForeground-Action Consistency Network for Weakly Supervised Temporal Action Localization
As a challenging task of high-level video understanding, weakly supervised temporal action localization has been attracting increasing attention. With only video annotations, most existing methods seek to handle this tas…
Action LocalizationMultiple Instance LearningTemporal Action LocalizationVideo Understanding+1