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

Showing 126150 of 1149 papers

TitleStatusHype
Multi-granularity Correspondence Learning from Long-term Noisy VideosCode2
TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video UnderstandingCode2
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person PerspectivesCode2
MVBench: A Comprehensive Multi-modal Video Understanding BenchmarkCode2
PG-Video-LLaVA: Pixel Grounding Large Video-Language ModelsCode2
Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video UnderstandingCode2
A Content-Driven Micro-Video Recommendation Dataset at ScaleCode2
MovieChat: From Dense Token to Sparse Memory for Long Video UnderstandingCode2
A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and FutureCode2
Valley: Video Assistant with Large Language model Enhanced abilitYCode2
Youku-mPLUG: A 10 Million Large-scale Chinese Video-Language Dataset for Pre-training and BenchmarksCode2
Query-Dependent Video Representation for Moment Retrieval and Highlight DetectionCode2
AIM: Adapting Image Models for Efficient Video Action RecognitionCode2
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
Temporal Action Segmentation: An Analysis of Modern TechniquesCode2
UniFormerV2: Spatiotemporal Learning by Arming Image ViTs with Video UniFormerCode2
ActionFormer: Localizing Moments of Actions with TransformersCode2
PyTorchVideo: A Deep Learning Library for Video UnderstandingCode2
Attention Mechanisms in Computer Vision: A SurveyCode2
TSM: Temporal Shift Module for Efficient and Scalable Video Understanding on Edge DeviceCode2
Video Swin TransformerCode2
Is Space-Time Attention All You Need for Video Understanding?Code2
Video Instance SegmentationCode2
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New BenchmarksCode1
MCAM: Multimodal Causal Analysis Model for Ego-Vehicle-Level Driving Video UnderstandingCode1
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