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Image Captioning

Image Captioning is the task of describing the content of an image in words. This task lies at the intersection of computer vision and natural language processing. Most image captioning systems use an encoder-decoder framework, where an input image is encoded into an intermediate representation of the information in the image, and then decoded into a descriptive text sequence. The most popular benchmarks are nocaps and COCO, and models are typically evaluated according to a BLEU or CIDER metric.

( Image credit: Reflective Decoding Network for Image Captioning, ICCV'19)

Papers

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Showing 951–1000 of 1878 papers

TitleStatusHype
Taking an Emotional Look at Video Paragraph Captioning—0
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness—0
TARN-VIST: Topic Aware Reinforcement Network for Visual Storytelling—0
Taxonomic Reasoning for Rare Arthropods: Combining Dense Image Captioning and RAG for Interpretable Classification—0
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning—0
Teacher-Critical Training Strategies for Image Captioning—0
Teaching Machines to Describe Images via Natural Language Feedback—0
Teaching Machines to Describe Images with Natural Language Feedback—0
Technical Report: Image Captioning with Semantically Similar Images—0
Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions—0
Telling Stories with Soundtracks: An Empirical Analysis of Music in Film—0
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee—0
Temporal Knowledge-Aware Image Captioning—0
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation—0
Text-based Person Search without Parallel Image-Text Data—0
TextCaps: a Dataset for Image Captioning with Reading Comprehension—0
Alt-Text with Context: Improving Accessibility for Images on Twitter—0
Text Data-Centric Image Captioning with Interactive Prompts—0
Image Captioning with Multi-Context Synthetic Data—0
Text-only Synthesis for Image Captioning—0
Text or Image? What is More Important in Cross-Domain Generalization Capabilities of Hate Meme Detection Models?—0
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity—0
Text-to-Image Synthesis Based on Machine Generated Captions—0
Textually Enriched Neural Module Networks for Visual Question Answering—0
The AFRL-OSU WMT17 Multimodal Translation System: An Image Processing Approach—0
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation—0
The BreakingNews Dataset—0
The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks—0
The Case for Evaluating Multimodal Translation Models on Text Datasets—0
The Long-Short Story of Movie Description—0
The price of debiasing automatic metrics in natural language evalaution—0
What Makes for Good Image Captions?—0
The Solution for the CVPR2023 NICE Image Captioning Challenge—0
The Solution for the CVPR2024 NICE Image Captioning Challenge—0
The Solution for the ICCV 2023 1st Scientific Figure Captioning Challenge—0
The Task Matters: Comparing Image Captioning and Task-Based Dialogical Image Description—0
TIME: Text and Image Mutual-Translation Adversarial Networks—0
TNG-CLIP:Training-Time Negation Data Generation for Negation Awareness of CLIP—0
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering—0
Toward Robust Hyper-Detailed Image Captioning: A Multiagent Approach and Dual Evaluation Metrics for Factuality and Coverage—0
Towards Accountable AI: Hybrid Human-Machine Analyses for Characterizing System Failure—0
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory—0
Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning—0
Towards Automatic Satellite Images Captions Generation Using Large Language Models—0
Towards Generating Stylized Image Captions via Adversarial Training—0
Towards L-System Captioning for Tree Reconstruction—0
Towards Models that Can See and Read—0
Towards More Unified In-context Visual Understanding—0
Towards Multimodal In-Context Learning for Vision & Language Models—0
Towards Real Time Egocentric Segment Captioning for The Blind and Visually Impaired in RGB-D Theatre Images—0
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All datasetsVizWiz 2020 test-devCOCO Captionsnocaps in-domainnocaps near-domainnocaps out-of-domainnocaps entireCOCO (Common Objects in Context)VizWiz 2020 testnocaps-XD entirenocaps-val-in-domainnocaps-val-overallnocaps-XD in-domain

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1IBM Research AICIDEr80.67—Unverified
2CASIA_IVACIDEr79.15—Unverified
3feixiangCIDEr77.31—Unverified
4wocaoCIDEr77.21—Unverified
5lamiwab172CIDEr75.93—Unverified
6RUC_AIM3CIDEr73.52—Unverified
7funasCIDEr73.51—Unverified
8SRC-B_VCLabCIDEr73.47—Unverified
9spartaCIDEr73.41—Unverified
10x-vizCIDEr73.26—Unverified
#ModelMetricClaimedVerifiedStatus
1VALORCIDER152.5—Unverified
2VASTCIDER149—Unverified
3Virtex (ResNet-101)CIDER94—Unverified
4KOSMOS-1 (1.6B) (zero-shot)CIDER84.7—Unverified
5BLIP-FuseCapCLIPScore78.5—Unverified
6mPLUGBLEU-446.5—Unverified
7OFABLEU-444.9—Unverified
8GITBLEU-444.1—Unverified
9BLIP-2 ViT-G OPT 2.7B (zero-shot)BLEU-443.7—Unverified
10BLIP-2 ViT-G OPT 6.7B (zero-shot)BLEU-443.5—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLICIDEr149.1—Unverified
2GIT2, Single ModelCIDEr124.18—Unverified
3GIT, Single ModelCIDEr122.4—Unverified
4PaLICIDEr121.09—Unverified
5CoCa - Google BrainCIDEr117.9—Unverified
6Microsoft Cognitive Services teamCIDEr112.82—Unverified
7Single ModelCIDEr108.98—Unverified
8GRIT (zero-shot, no VL pretraining, no CBS)CIDEr105.9—Unverified
9FudanFVLCIDEr104.9—Unverified
10FudanWYZCIDEr104.25—Unverified
#ModelMetricClaimedVerifiedStatus
1GIT2, Single ModelCIDEr125.51—Unverified
2PaLICIDEr124.35—Unverified
3GIT, Single ModelCIDEr123.92—Unverified
4CoCa - Google BrainCIDEr120.73—Unverified
5Microsoft Cognitive Services teamCIDEr115.54—Unverified
6Single ModelCIDEr110.76—Unverified
7FudanFVLCIDEr109.33—Unverified
8FudanWYZCIDEr108.04—Unverified
9IEDA-LABCIDEr100.15—Unverified
10firetheholeCIDEr99.51—Unverified
#ModelMetricClaimedVerifiedStatus
1PaLICIDEr126.67—Unverified
2GIT2, Single ModelCIDEr122.27—Unverified
3GIT, Single ModelCIDEr122.04—Unverified
4CoCa - Google BrainCIDEr121.69—Unverified
5Microsoft Cognitive Services teamCIDEr110.14—Unverified
6Single ModelCIDEr109.49—Unverified
7FudanFVLCIDEr106.55—Unverified
8FudanWYZCIDEr103.75—Unverified
9HumanCIDEr91.62—Unverified
10firetheholeCIDEr88.54—Unverified