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 776800 of 1149 papers

TitleStatusHype
Integrated Object Detection and Tracking with Tracklet-Conditioned Detection0
InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output0
InternLM-XComposer2.5-Reward: A Simple Yet Effective Multi-Modal Reward Model0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation0
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling0
InternVQA: Advancing Compressed Video Quality Assessment with Distilling Large Foundation Model0
Interpretable Action Recognition on Hard to Classify Actions0
InterRVOS: Interaction-aware Referring Video Object Segmentation0
In-the-Wild Video Question Answering0
Inverse Compositional Learning for Weakly-supervised Relation Grounding0
IPAD: Industrial Process Anomaly Detection Dataset0
IPFormer-VideoLLM: Enhancing Multi-modal Video Understanding for Multi-shot Scenes0
IQViC: In-context, Question Adaptive Vision Compressor for Long-term Video Understanding LMMs0
Is Temporal Prompting All We Need For Limited Labeled Action Recognition?0
Joint Engagement Classification using Video Augmentation Techniques for Multi-person Human-robot Interaction0
Jointly Learning Energy Expenditures and Activities Using Egocentric Multimodal Signals0
Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input0
KeyVideoLLM: Towards Large-scale Video Keyframe Selection0
Kill Two Birds With One Stone: Boosting Both Object Detection Accuracy and Speed With adaptive Patch-of-Interest Composition0
KnowIT VQA: Answering Knowledge-Based Questions about Videos0
Knowledge-Based Visual Question Answering in Videos0
Koala: Key frame-conditioned long video-LLM0
Label Denoising with Large Ensembles of Heterogeneous Neural Networks0
Language as the Medium: Multimodal Video Classification through text only0
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers0
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