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SotA/Computer Vision/Video Understanding

Video Understanding

45 benchmarks1149 papers

A crucial task of Video Understanding is to recognise and localise (in space and time) different actions or events appearing in the video.

<span class="description-source">Source: Action Detection from a Robot-Car Perspective </span>

Benchmarks

Video Understanding on MSU SR-QA Dataset

SROCCPLCCKLCCType

Video Understanding on KoNViD-1k

PLCC

Video Understanding on MSU NR VQA Database

SRCCPLCCKLCCType

Video Understanding on LIVE-VQC

PLCC

Video Understanding on MSU FR VQA Database

SRCCKLCCPLCC

Video Understanding on UCF-Crime

ROC AUCDecidabilityEERAUC

Video Understanding on XD-Violence

AP

Video Understanding on YouTube-UGC

PLCC

Video Understanding on Charades-STA

R1@0.7R1@0.5R5@0.7R5@0.5

Video Understanding on LIVE-FB LSVQ

PLCC

Video Understanding on ShanghaiTech Weakly Supervised

AUC-ROC

Video Understanding on Breakfast

mAP

Video Understanding on LIVE-ETRI

SRCC

Video Understanding on UCSD Peds2

AUC

Video Understanding on LIVE Livestream

SRCC

Video Understanding on MSU Video Alignment and Retrieval Benchmark Suite

Accuracy w/ 3 frames error (Light)Accuracy w/ 3 frames error (Medium geometric)Accuracy w/ 3 frames error (Medium color)Accuracy w/ 3 frames error (Hard)

Video Understanding on UPenn Action

Kendall's Tau

Video Understanding on Ego4D-Goalstep

R@1,IoU=0.3R@1,IoU=0.5R@5,IoU=0.3R@5,IoU=0.5

Video Understanding on LIVE-YT-HFR

SRCC

Video Understanding on VFP290K

ROC AUCmAP @0.5:0.95

Video Understanding on MECD

AccuracyAve SHD

Video Understanding on ShanghaiTech

AUC

Video Understanding on VADD

ROC AUC