SOTAVerified

Video Understanding

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

Source: Action Detection from a Robot-Car Perspective

Papers

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Showing 976–1000 of 1149 papers

TitleStatusHype
Camera Calibration and Player Localization in SoccerNet-v2 and Investigation of their Representations for Action Spotting—0
Temporal Query Networks for Fine-grained Video Understanding—0
Temporally smooth online action detection using cycle-consistent future anticipationCode0
Adaptive Intermediate Representations for Video Understanding—0
Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation—0
FIBER: Fill-in-the-Blanks as a Challenging Video Understanding Evaluation FrameworkCode0
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers—0
Augmented Transformer with Adaptive Graph for Temporal Action Proposal Generation—0
Unified Graph Structured Models for Video Understanding—0
Low-Fidelity End-to-End Video Encoder Pre-training for Temporal Action Localization—0
ClawCraneNet: Leveraging Object-level Relation for Text-based Video Segmentation—0
Enhancing Transformer for Video Understanding Using Gated Multi-Level Attention and Temporal Adversarial Training—0
PcmNet: Position-Sensitive Context Modeling Network for Temporal Action Localization—0
Unsupervised Motion Representation Enhanced Network for Action Recognition—0
Win-Fail Action RecognitionCode0
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization—0
Global Self-Attention Networks—0
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization—0
Attention Is Not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion—0
Understanding Action Sequences based on Video Captioning for Learning-from-Observation—0
t-EVA: Time-Efficient t-SNE Video Annotation—0
Can Temporal Information Help with Contrastive Self-Supervised Learning?—0
Cycle-Contrast for Self-Supervised Video Representation Learning—0
Co-attentional Transformers for Story-Based Video Understanding—0
Egok360: A 360 Egocentric Kinetic Human Activity Video Dataset—0
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