SOTAVerified

Video Captioning

Video Captioning is a task of automatic captioning a video by understanding the action and event in the video which can help in the retrieval of the video efficiently through text.

Source: NITS-VC System for VATEX Video Captioning Challenge 2020

Papers

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Showing 1–10 of 473 papers

TitleStatusHype
UGC-VideoCaptioner: An Omni UGC Video Detail Caption Model and New BenchmarksCode1
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization—0
Dense Video Captioning using Graph-based Sentence Summarization—0
video-SALMONN 2: Captioning-Enhanced Audio-Visual Large Language ModelsCode2
VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks—0
ARGUS: Hallucination and Omission Evaluation in Video-LLMs—0
Temporal Object Captioning for Street Scene Videos from LiDAR Tracks—0
FLASH: Latent-Aware Semi-Autoregressive Speculative Decoding for Multimodal TasksCode0
TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation—0
Describe Anything: Detailed Localized Image and Video Captioning—0
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All datasetsMSR-VTTMSVDYouCook2VATEXActivityNet CaptionsMSRVTT-CTNMSVD-CTNHindi MSR-VTTTVCChinaOpen-1kMSVD-IndonesianShot2Story20K

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VNS-GRU (Cross-Lingual)BLEU-458.68—Unverified