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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 1149 papers

TitleStatusHype
One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-object TrajectoryCode2
PreFM: Online Audio-Visual Event Parsing via Predictive Future ModelingCode1
VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?Code1
Universal Visuo-Tactile Video Understanding for Embodied Interaction—0
VidText: Towards Comprehensive Evaluation for Video Text UnderstandingCode1
MUSEG: Reinforcing Video Temporal Understanding via Timestamp-Aware Multi-Segment GroundingCode1
AdaTP: Attention-Debiased Token Pruning for Video Large Language Models—0
Two Causally Related Needles in a Video Haystack—0
TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic VideosCode0
Sparse-to-Dense: A Free Lunch for Lossless Acceleration of Video Understanding in LLMs—0
Show:102550
← PrevPage 7 of 115Next →

No leaderboard results yet.