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 326350 of 1149 papers

TitleStatusHype
End-to-end Temporal Action Detection with TransformerCode1
Learning the Predictability of the FutureCode1
Fibottention: Inceptive Visual Representation Learning with Diverse Attention Across HeadsCode1
End-to-End Streaming Video Temporal Action Segmentation with Reinforce LearningCode1
Open-Vocabulary Video Relation ExtractionCode1
End-to-End Referring Video Object Segmentation with Multimodal TransformersCode1
Panoramic Vision Transformer for Saliency Detection in 360° VideosCode1
Learning Temporally Causal Latent Processes from General Temporal DataCode1
PAVE: Patching and Adapting Video Large Language ModelsCode1
Learning Transferable Spatiotemporal Representations from Natural Script KnowledgeCode1
Learning Optical Flow with Adaptive Graph ReasoningCode1
CAMEL-Bench: A Comprehensive Arabic LMM BenchmarkCode1
Learning Salient Boundary Feature for Anchor-free Temporal Action LocalizationCode1
Language-Guided Audio-Visual Learning for Long-Term Sports AssessmentCode1
An overview on the evaluated video retrieval tasks at TRECVID 2022Code1
Procedure-Aware Pretraining for Instructional Video UnderstandingCode1
Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary DetectionCode1
Language Repository for Long Video UnderstandingCode1
Learning Self-Similarity in Space and Time as a Generalized Motion for Action RecognitionCode1
IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMsCode1
A Comprehensive Study of Deep Video Action RecognitionCode1
Elaborative Rehearsal for Zero-shot Action RecognitionCode1
Free Lunch for Surgical Video Understanding by Distilling Self-SupervisionsCode1
FrameExit: Conditional Early Exiting for Efficient Video RecognitionCode1
Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action SegmentationCode1
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