SOTAVerified

Dense Video Captioning

Most natural videos contain numerous events. For example, in a video of a “man playing a piano”, the video might also contain “another man dancing” or “a crowd clapping”. The task of dense video captioning involves both detecting and describing events in a video.

Papers

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Showing 1–10 of 76 papers

TitleStatusHype
Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization—0
Dense Video Captioning using Graph-based Sentence Summarization—0
TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary Generation—0
Watch and Learn: Leveraging Expert Knowledge and Language for Surgical Video Understanding—0
VidChain: Chain-of-Tasks with Metric-based Direct Preference Optimization for Dense Video CaptioningCode1
Event-Equalized Dense Video Captioning—0
HiCM^2: Hierarchical Compact Memory Modeling for Dense Video CaptioningCode1
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video CaptioningCode0
Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-learning—0
Video LLMs for Temporal Reasoning in Long Videos—0
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All datasetsActivityNet CaptionsYouCook2ViTTVidChapters-7M

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1E2ESGCIDEr25—Unverified
2Vid2Seq (VidChapters-7M PT)SODA0.15—Unverified
3HiCM²SODA0.15—Unverified
4Vid2SeqSODA0.14—Unverified