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 781–790 of 1149 papers

TitleStatusHype
Dr^2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient FinetuningCode0
VideoGrounding-DINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
Dr2Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning—0
Unified-IO 2: Scaling Autoregressive Multimodal Models with Vision Language Audio and Action—0
Enhanced Motion-Text Alignment for Image-to-Video Transfer Learning—0
Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding—0
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision—0
Text-Conditioned Resampler For Long Form Video Understanding—0
Learning Object State Changes in Videos: An Open-World Perspective—0
Artificial intelligence optical hardware empowers high-resolution hyperspectral video understanding at 1.2 Tb/s—0
Show:102550
← PrevPage 79 of 115Next →

No leaderboard results yet.