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 151–160 of 1149 papers

TitleStatusHype
Exploring Hallucination of Large Multimodal Models in Video Understanding: Benchmark, Analysis and MitigationCode1
PAVE: Patching and Adapting Video Large Language ModelsCode1
ACVUBench: Audio-Centric Video Understanding BenchmarkCode0
SlowFast-LLaVA-1.5: A Family of Token-Efficient Video Large Language Models for Long-Form Video Understanding—0
CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos—0
Video-XL-Pro: Reconstructive Token Compression for Extremely Long Video Understanding—0
Unbiasing through Textual Descriptions: Mitigating Representation Bias in Video Benchmarks—0
Breaking the Encoder Barrier for Seamless Video-Language Understanding—0
MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss AlpsCode1
4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object UnderstandingCode0
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