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Dense Video Captioning: A Survey of Techniques, Datasets and Evaluation Protocols

https://doi.org/10.1145/3712059

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Dense Video Captioning for Incomplete Videos

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Proposal-Free Temporal Action Detection via Global Segmentation Mask Learning

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Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

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DAPs: Deep Action Proposals for Action Understanding

inferredcites →https://doi.org/10.1007/978-981-16-6723-7_32openalex-snapshot

Hierarchical Language Modeling for Dense Video Captioning

inferredcites →https://doi.org/10.1007/bf00393937openalex-snapshot

Content-based representation and retrieval of visual media: A state-of-the-art review

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A comprehensive review of the video-to-text problem

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Evolution of automatic visual description techniques-a methodological survey

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A study on video semantics; overview, challenges, and applications

inferredcites →https://doi.org/10.1007/s11042-023-17809-1openalex-snapshot

A Neural ODE and Transformer-based Model for Temporal Understanding and Dense Video Captioning

inferredcites →https://doi.org/10.1007/s40747-023-00998-5openalex-snapshot

Lightweight dense video captioning with cross-modal attention and knowledge-enhanced unbiased scene graph

inferredcites →https://doi.org/10.1007/s42979-021-00487-xopenalex-snapshot

Exploring Video Captioning Techniques: A Comprehensive Survey on Deep Learning Methods

inferredcites →https://doi.org/10.1016/j.imavis.2025.105595openalex-snapshot

ADVC: Adversarial dense video captioning with unsupervised pretraining

inferredcites →https://doi.org/10.1016/j.ipm.2022.103204openalex-snapshot

Time–frequency recurrent transformer with diversity constraint for dense video captioning

inferredcites →https://doi.org/10.1016/j.jvcir.2024.104385openalex-snapshot

Dense video captioning using unsupervised semantic information

inferredcites →https://doi.org/10.1016/j.neucom.2021.03.026openalex-snapshot

Accelerated masked transformer for dense video captioning

inferredcites →https://doi.org/10.1016/j.neucom.2023.126523openalex-snapshot

MPP-net: Multi-perspective perception network for dense video captioning

inferredcites →https://doi.org/10.1016/j.neunet.2021.11.017openalex-snapshot

Event-centric multi-modal fusion method for dense video captioning

inferredcites →https://doi.org/10.1016/j.patrec.2021.02.009openalex-snapshot

Leveraging auxiliary image descriptions for dense video captioning

inferredcites →https://doi.org/10.1049/cvi2.12013openalex-snapshot

DVC‐Net: A deep neural network model for dense video captioning

inferredcites →https://doi.org/10.1049/ipr2.12819openalex-snapshot

Dense video captioning based on local attention

inferredcites →https://doi.org/10.1109/76.988656openalex-snapshot

Shot-boundary detection: unraveled and resolved?

inferredcites →https://doi.org/10.1109/access.2022.3228821openalex-snapshot

Parallel Pathway Dense Video Captioning With Deformable Transformer

inferredcites →https://doi.org/10.1109/access.2023.3279816openalex-snapshot

Step by Step: A Gradual Approach for Dense Video Captioning

inferredcites →https://doi.org/10.1109/cvpr.1991openalex-snapshot

Proceedings. 1991 IEEE Computer Society Conference on Computer Vision and Pattern Recognition

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inferredcites →https://doi.org/10.1109/cvpr.2015.7298935openalex-snapshot

Show and tell: A neural image caption generator

inferredcites →https://doi.org/10.1109/cvpr.2016.337openalex-snapshot

Temporal Action Localization with Pyramid of Score Distribution Features

inferredcites →https://doi.org/10.1109/cvpr.2016.571openalex-snapshot

MSR-VTT: A Large Video Description Dataset for Bridging Video and Language

inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot

Deep Residual Learning for Image Recognition

inferredcites →https://doi.org/10.1109/cvpr.2017.502openalex-snapshot

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

inferredcites →https://doi.org/10.1109/cvpr.2017.675openalex-snapshot

SST: Single-Stream Temporal Action Proposals

inferredcites →https://doi.org/10.1109/cvpr.2018.00751openalex-snapshot

Bidirectional Attentive Fusion with Context Gating for Dense Video Captioning

inferredcites →https://doi.org/10.1109/cvpr.2018.00782openalex-snapshot

Jointly Localizing and Describing Events for Dense Video Captioning

inferredcites →https://doi.org/10.1109/cvpr.2018.00911openalex-snapshot

End-to-End Dense Video Captioning with Masked Transformer

inferredcites →https://doi.org/10.1109/cvpr.2019.00675openalex-snapshot

Streamlined Dense Video Captioning

inferredcites →https://doi.org/10.1109/cvpr12618.2008openalex-snapshot

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inferredcites →https://doi.org/10.1109/cvpr20399.2014openalex-snapshot

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2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.00067openalex-snapshot

Temporal Pyramid Network for Action Recognition

inferredcites →https://doi.org/10.1109/cvpr42600.2020.01068openalex-snapshot

Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00418openalex-snapshot

Cascaded Prediction Network via Segment Tree for Temporal Video Grounding

inferredcites →https://doi.org/10.1109/cvpr46437.2021.00832openalex-snapshot

Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning

inferredcites →https://doi.org/10.1109/cvpr52688.2022.01512openalex-snapshot

Visual Abductive Reasoning

inferredcites →https://doi.org/10.1109/cvpr52729.2023.01032openalex-snapshot

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

inferredcites →https://doi.org/10.1109/cvprw50498.2020.00487openalex-snapshot

Multi-modal Dense Video Captioning

inferredcites →https://doi.org/10.1109/iccv.2013.337openalex-snapshot

YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition

inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot

Learning Spatiotemporal Features with 3D Convolutional Networks

inferredcites →https://doi.org/10.1109/iccv.2017.317openalex-snapshot

Temporal Action Detection with Structured Segment Networks

inferredcites →https://doi.org/10.1109/iccv.2017.563openalex-snapshot

TALL: Temporal Activity Localization via Language Query

inferredcites →https://doi.org/10.1109/iccv.2017.618openalex-snapshot

Localizing Moments in Video with Natural Language

inferredcites →https://doi.org/10.1109/iccv.2017.83openalex-snapshot

Dense-Captioning Events in Videos

inferredcites →https://doi.org/10.1109/iccv.2019.00468openalex-snapshot

VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

inferredcites →https://doi.org/10.1109/iccv.2019.00900openalex-snapshot

Watch, Listen and Tell: Multi-Modal Weakly Supervised Dense Event Captioning

inferredcites →https://doi.org/10.1109/iccv19984.2013openalex-snapshot

2013 IEEE International Conference on Computer Vision

inferredcites →https://doi.org/10.1109/iccv48922.2021.00009openalex-snapshot

CvT: Introducing Convolutions to Vision Transformers

inferredcites →https://doi.org/10.1109/iccv48922.2021.00041openalex-snapshot

CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification

inferredcites →https://doi.org/10.1109/iccv48922.2021.00060openalex-snapshot

Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

inferredcites →https://doi.org/10.1109/iccv48922.2021.00061openalex-snapshot

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

inferredcites →https://doi.org/10.1109/iccv48922.2021.00676openalex-snapshot

ViViT: A Video Vision Transformer

inferredcites →https://doi.org/10.1109/iccv48922.2021.00677openalex-snapshot

End-to-End Dense Video Captioning with Parallel Decoding

inferredcites →https://doi.org/10.1109/icdmw.2009.79openalex-snapshot

Video2Text: Learning to Annotate Video Content

inferredcites →https://doi.org/10.1109/icip.2001openalex-snapshot

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)

inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9534164openalex-snapshot

Dense Video Captioning with Hierarchical Attention-Based Encoder-Decoder Networks

inferredcites →https://doi.org/10.1109/jiot.2021.3104289openalex-snapshot

Environment-Aware Dense Video Captioning for IoT-Enabled Edge Cameras

inferredcites →https://doi.org/10.1109/jproc.2008.916355openalex-snapshot

Video Retrieval Based on Semantic Concepts

inferredcites →https://doi.org/10.1109/mulmm.2004.1264975openalex-snapshot

Multilevel video representation with application to keyframe extraction

inferredcites →https://doi.org/10.1109/tai.2021.3134190openalex-snapshot

Cross-Domain Modality Fusion for Dense Video Captioning

inferredcites →https://doi.org/10.1109/tcsvt.2019.2936526openalex-snapshot

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization

inferredcites →https://doi.org/10.1109/tcsvt.2020.3014606openalex-snapshot

Event-Centric Hierarchical Representation for Dense Video Captioning

inferredcites →https://doi.org/10.1109/tip.2006.891352openalex-snapshot

Semantic-Based Surveillance Video Retrieval

inferredcites →https://doi.org/10.1109/tip.2021.3086591openalex-snapshot

MABAN: Multi-Agent Boundary-Aware Network for Natural Language Moment Retrieval

inferredcites →https://doi.org/10.1109/tip.2022.3195643openalex-snapshot

AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multisentence Video Description

inferredcites →https://doi.org/10.1109/tmm.2007.911830openalex-snapshot

Video Semantic Event/Concept Detection Using a Subspace-Based Multimedia Data Mining Framework

inferredcites →https://doi.org/10.1109/tmm.2019.2924576openalex-snapshot

STAT: Spatial-Temporal Attention Mechanism for Video Captioning

inferredcites →https://doi.org/10.1109/tmm.2020.3003592openalex-snapshot

Dense Video Captioning Using Graph-Based Sentence Summarization

inferredcites →https://doi.org/10.1109/tmm.2022.3146005openalex-snapshot

Dense Video Captioning With Early Linguistic Information Fusion

inferredcites →https://doi.org/10.1109/tmm.2023.3307972openalex-snapshot

Global-Shared Text Representation Based Multi-Stage Fusion Transformer Network for Multi-Modal Dense Video Captioning

inferredcites →https://doi.org/10.1109/tmm.2024.3369863openalex-snapshot

DCMSTRD: End-to-end Dense Captioning via Multi-Scale Transformer Decoding

inferredcites →https://doi.org/10.1109/tpami.2022.3193611openalex-snapshot

Deep Learning-Based Action Detection in Untrimmed Videos: A Survey

inferredcites →https://doi.org/10.1109/wacv45572.2020.9093328openalex-snapshot

Proposal-free Temporal Moment Localization of a Natural-Language Query in Video using Guided Attention

inferredcites →https://doi.org/10.1145/3065386openalex-snapshot

ImageNet classification with deep convolutional neural networks

inferredcites →https://doi.org/10.1145/3123266.3123343openalex-snapshot

Single Shot Temporal Action Detection

inferredcites →https://doi.org/10.1145/3343031.3350859openalex-snapshot

Structured Stochastic Recurrent Network for Linguistic Video Prediction

inferredcites →https://doi.org/10.1145/3355390openalex-snapshot

Video Description

inferredcites →https://doi.org/10.1145/3532626openalex-snapshot

A Survey on Temporal Sentence Grounding in Videos

inferredcites →https://doi.org/10.1145/3550276openalex-snapshot

Semantic Embedding Guided Attention with Explicit Visual Feature Fusion for Video Captioning

inferredcites →https://doi.org/10.1145/3552455.3555817openalex-snapshot

Fine-grained Video Captioning via Precise Key Point Positioning

inferredcites →https://doi.org/10.1145/3556537openalex-snapshot

A Survey on Video Moment Localization

inferredcites →https://doi.org/10.1609/aaai.v34i07.6881openalex-snapshot

An Efficient Framework for Dense Video Captioning

inferredcites →https://doi.org/10.1609/aaai.v34i07.7005openalex-snapshot

Unified Vision-Language Pre-Training for Image Captioning and VQA

inferredcites →https://doi.org/10.1609/aaai.v35i2.16175openalex-snapshot

Dense Events Grounding in Video

inferredcites →https://doi.org/10.1609/aaai.v37i3.25412openalex-snapshot

VLTinT: Visual-Linguistic Transformer-in-Transformer for Coherent Video Paragraph Captioning

inferredcites →https://doi.org/10.18653/v1/2020.aacl-main.48openalex-snapshot

Multimodal Pretraining for Dense Video Captioning

inferredcites →https://doi.org/10.18653/v1/2023.findings-acl.543openalex-snapshot

Retrieval-augmented Video Encoding for Instructional Captioning

inferredcites →https://doi.org/10.18653/v1/d18-1015openalex-snapshot

Temporally Grounding Natural Sentence in Video

inferredcites →https://doi.org/10.18653/v1/p19-1641openalex-snapshot

Dense Procedure Captioning in Narrated Instructional Videos

inferredcites →https://doi.org/10.24963/ijcai.2021/160openalex-snapshot

Weakly Supervised Dense Video Captioning via Jointly Usage of Knowledge Distillation and Cross-modal Matching

inferredcites →https://doi.org/10.3115/v1/d14-1179openalex-snapshot

Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation

inferredcites →https://doi.org/10.3390/s23125565openalex-snapshot

Fusion of Multi-Modal Features to Enhance Dense Video Caption

inferredcites →https://doi.org/10.4230/lipics.cosit.2022.18openalex-snapshot

AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at Scale

inferredcites →https://doi.org/10.48550/arxiv.1609.02907openalex-snapshot

Semi-Supervised Classification with Graph Convolutional Networks

inferredcites →https://doi.org/10.48550/arxiv.1709.09888openalex-snapshot

Efficient Convolutional Neural Network For Audio Event Detection

inferredcites →https://doi.org/10.48550/arxiv.1806.08854openalex-snapshot

RUC+CMU: System Report for Dense Captioning Events in Videos

inferredcites →https://doi.org/10.48550/arxiv.1907.05092openalex-snapshot

Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos

inferredcites →https://doi.org/10.48550/arxiv.1908.02265openalex-snapshot

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

inferredcites →https://doi.org/10.48550/arxiv.1910.10683openalex-snapshot

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

inferredcites →https://doi.org/10.48550/arxiv.2006.07896openalex-snapshot

Team RUC_AIM3 Technical Report at Activitynet 2020 Task 2: Exploring Sequential Events Detection for Dense Video Captioning

inferredcites →https://doi.org/10.48550/arxiv.2006.11693openalex-snapshot

Dense-Captioning Events in Videos: SYSU Submission to ActivityNet Challenge 2020

inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

inferredcites →https://doi.org/10.48550/arxiv.2011.14752openalex-snapshot

A Comprehensive Review on Recent Methods and Challenges of Video Description

inferredcites →https://doi.org/10.48550/arxiv.2111.10146openalex-snapshot

DVCFlow: Modeling Information Flow Towards Human-like Video Captioning

inferredcites →https://doi.org/10.48550/arxiv.2204.07449openalex-snapshot

Semantic-Aware Pretraining for Dense Video Captioning

inferredcites →https://doi.org/10.48550/arxiv.2204.08121openalex-snapshot

End-to-end Dense Video Captioning as Sequence Generation

inferredcites →https://doi.org/10.48550/arxiv.2207.11838openalex-snapshot

SAVCHOI: Detecting Suspicious Activities using Dense Video Captioning with Human Object Interactions

inferredcites →https://doi.org/10.48550/arxiv.2209.01540openalex-snapshot

An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling

inferredcites →https://doi.org/10.48550/arxiv.2303.06378openalex-snapshot

Learning Grounded Vision-Language Representation for Versatile Understanding in Untrimmed Videos

inferredcites →https://doi.org/10.48550/arxiv.2307.02682openalex-snapshot

Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment

inferredcites →https://doi.org/10.5220/0012936400003822openalex-snapshot

Video Summarization Techniques: A Comprehensive Review

inferredcites →https://doi.org/10.5244/c.34.29openalex-snapshot

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Video Captioning with Spatio-Temporal Graph Transformers

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Temporal and Cross-Modal Alignment for Enhanced Audiovisual Video Captioning

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VDC-Agent: When Video Detailed Captioners Evolve Themselves via Agentic Self-Reflection

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Energy-Based Video Captioning with Statistical Energy Distance: A Unified Framework

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Dense Video Captioning with Context Fusion and Reasoning

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GeoCaption: a real-time, TinyML-optimized multimodal transformer for environmental video captioning using vision, audio, and GPS fusion

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ViS2T: A vision and scene graph to text model for captive giant panda video captioning

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ADVC: Adversarial dense video captioning with unsupervised pretraining

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AI-Based semantic video indexing: a unified survey from segmentation to retrieval

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Temporal-spatial reasoning over hypergraph knowledge structures for multimodal retrieval-augmented generation

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Visual Lifelog Retrieval through Captioning-Enhanced Interpretation

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Cross-Modal Retrieval and Retrieval-Augmented Inference for IoT-Enabled Clinical Decision Support

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Toward Scalable Video Narration: A Training-Free Approach Using Multimodal Large Language Models

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A Survey on Video Captioning in the Era of Large Language Models

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How to Respond, How to Memorize, How to be Fast: A Survey of Streaming Video Understanding

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Structured Pseudo-Label Construction for Dense Video Captioning via Candidate Selection and Temporal Refinement

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Multimodal Video Understanding: A Capability-Based Survey of Alignment, Expression, and Reasoning

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A Survey of Multi-Model Collaboration in Video Understanding

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Generating Hard-Label Black-Box Adversarial Examples for Video Recognition Models

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ADVANCEMENTS IN VIDEO CAPTIONING: A COMPREHENSIVE REVIEW OF DEEP LEARNING TECHNIQUES, ARCHITECTURES, AND PRE-PROCESSING STRATEGIES

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