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

Showing 726750 of 1149 papers

TitleStatusHype
Inverse Compositional Learning for Weakly-supervised Relation Grounding0
Self-Supervised Object Detection from Egocentric Videos0
Relational Space-Time Query in Long-Form Videos0
Modeling Video As Stochastic Processes for Fine-Grained Video Representation LearningCode1
Few-Shot Referring Relationships in VideosCode0
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction0
Inductive Attention for Video Action Anticipation0
Towards Smooth Video CompositionCode1
Egocentric Video Task Translation0
Contextual Explainable Video Representation: Human Perception-based UnderstandingCode0
PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data0
Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images0
InternVideo: General Video Foundation Models via Generative and Discriminative LearningCode4
Spatio-Temporal Crop Aggregation for Video Representation Learning0
MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity ParsingCode1
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training0
Contrastive Masked Autoencoders for Self-Supervised Video HashingCode1
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset0
EVEREST: Efficient Masked Video Autoencoder by Removing Redundant Spatiotemporal TokensCode1
Masked Autoencoders for Egocentric Video Understanding @ Ego4D Challenge 2022Code0
InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D ChallengesCode1
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
Exploring State Change Capture of Heterogeneous Backbones @ Ego4D Hands and Objects Challenge 20220
Grounded Video Situation Recognition0
VTC: Improving Video-Text Retrieval with User CommentsCode1
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