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

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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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1VALORBLEU-445.6—Unverified
2VASTBLEU-445—Unverified
3COSABLEU-443.7—Unverified
4VideoCoCaBLEU-439.7—Unverified
5IcoCap (ViT-B/16)BLEU-437.4—Unverified
6IcoCap (ViT-B/32)BLEU-436.9—Unverified
7VASTA (Kinetics-backbone)BLEU-436.25—Unverified
8CoCap (ViT/L14)BLEU-435.8—Unverified
9ORG-TRLBLEU-432.1—Unverified
10NITS-VCBLEU-420—Unverified