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 411–420 of 1149 papers

TitleStatusHype
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
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