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 401–425 of 1149 papers

TitleStatusHype
Efficient Annotation and Learning for 3D Hand Pose Estimation: A Survey—0
An Effective Way to Improve YouTube-8M Classification Accuracy in Google Cloud Platform—0
AdaCM^2: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction—0
Label Denoising with Large Ensembles of Heterogeneous Neural Networks—0
EAGLE: Egocentric AGgregated Language-video Engine—0
DynTok: Dynamic Compression of Visual Tokens for Efficient and Effective Video Understanding—0
BioVL-QR: Egocentric Biochemical Vision-and-Language Dataset Using Micro QR Codes—0
An Attempt towards Interpretable Audio-Visual Video Captioning—0
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding—0
Dynamic Multistep Reasoning based on Video Scene Graph for Video Question Answering—0
Beyond Training: Dynamic Token Merging for Zero-Shot Video Understanding—0
Dynamic Graph Modules for Modeling Object-Object Interactions in Activity Recognition—0
Dynamic Appearance: A Video Representation for Action Recognition with Joint Training—0
Beyond the Camera: Neural Networks in World Coordinates—0
Analyzing Zero-Shot Abilities of Vision-Language Models on Video Understanding Tasks—0
DyMU: Dynamic Merging and Virtual Unmerging for Efficient VLMs—0
DualX-VSR: Dual Axial SpatialTemporal Transformer for Real-World Video Super-Resolution without Motion Compensation—0
Beyond still images: Temporal features and input variance resilience—0
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM—0
Abductive Ego-View Accident Video Understanding for Safe Driving Perception—0
An Analysis of Data Transformation Effects on Segment Anything 2—0
Language as the Medium: Multimodal Video Classification through text only—0
Dilated Temporal Relational Adversarial Network for Generic Video Summarization—0
DrVideo: Document Retrieval Based Long Video Understanding—0
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model—0
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