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 701–725 of 1149 papers

TitleStatusHype
Rethinking Image-to-Video Adaptation: An Object-centric Perspective—0
VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation ModelCode0
OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding—0
KeyVideoLLM: Towards Large-scale Video Keyframe Selection—0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output—0
https://arxiv.org/abs/2407.00634Code0
Video Watermarking: Safeguarding Your Video from (Unauthorized) Annotations by Video-based LLMs—0
Zero-Shot Long-Form Video Understanding through Screenplay—0
VideoHallucer: Evaluating Intrinsic and Extrinsic Hallucinations in Large Video-Language Models—0
video-SALMONN: Speech-Enhanced Audio-Visual Large Language ModelsCode0
MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding—0
Towards Holistic Language-video Representation: the language model-enhanced MSR-Video to Text Dataset—0
GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement—0
DrVideo: Document Retrieval Based Long Video Understanding—0
Hallucination Mitigation Prompts Long-term Video UnderstandingCode0
VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment—0
Beyond Raw Videos: Understanding Edited Videos with Large Multimodal ModelCode0
GPT-4o: Visual perception performance of multimodal large language models in piglet activity understanding—0
Localizing Events in Videos with Multimodal Queries—0
LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living—0
Fewer Tokens and Fewer Videos: Extending Video Understanding Abilities in Large Vision-Language Models—0
MeMSVD: Long-Range Temporal Structure Capturing Using Incremental SVD—0
1st Place Winner of the 2024 Pixel-level Video Understanding in the Wild (CVPR'24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation—0
Semantic Segmentation on VSPW Dataset through Masked Video Consistency—0
3rd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation—0
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