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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 451–500 of 1878 papers

TitleStatusHype
Multimodal Data Augmentation for Image Captioning using Diffusion ModelsCode0
The Role of Data Curation in Image CaptioningCode0
Adversarial Inference for Multi-Sentence Video DescriptionCode0
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language ModelCode0
Batch-normalized Recurrent Highway NetworksCode0
Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder NetworkCode0
An Empirical Study of Language CNN for Image CaptioningCode0
LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model PromptingCode0
Learning to Caption Images through a Lifetime by Asking QuestionsCode0
BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions DatasetCode0
Leveraging image captions for selective whole slide image annotationCode0
MHSAN: Multi-Head Self-Attention Network for Visual Semantic EmbeddingCode0
Learning Visually-Grounded Semantics from Contrastive Adversarial SamplesCode0
Leveraging Human Attention in Novel Object CaptioningCode0
LineCap: Line Charts for Data Visualization Captioning ModelsCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
Learning a Deep Embedding Model for Zero-Shot LearningCode0
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption GenerationCode0
MMT: Image-guided Story Ending Generation with Multimodal Memory TransformerCode0
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic CorporaCode0
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-TuningCode0
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of ImagesCode0
Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesCode0
DeepPatent2: A Large-Scale Benchmarking Corpus for Technical Drawing UnderstandingCode0
An Efficient System for Automatic Map Storytelling -- A Case Study on Historical MapsCode0
Learning to Collocate Visual-Linguistic Neural Modules for Image CaptioningCode0
Language-Driven Region Pointer Advancement for Controllable Image CaptioningCode0
ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image SynthesisCode0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
Label-Attention Transformer with Geometrically Coherent Objects for Image CaptioningCode0
Language Models as Knowledge Bases for Visual Word Sense DisambiguationCode0
Learning to Evaluate Image CaptioningCode0
Look and Modify: Modification Networks for Image CaptioningCode0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERTCode0
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)Code0
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language ContextsCode0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning ModelsCode0
Journalistic Guidelines Aware News Image CaptioningCode0
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated ImagesCode0
KALE: An Artwork Image Captioning System Augmented with Heterogeneous GraphCode0
Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep LearningCode0
Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of EmbeddingsCode0
Automated Image Captioning with CNNs and TransformersCode0
iParaphrasing: Extracting Visually Grounded Paraphrases via an ImageCode0
InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence GenerationCode0
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined HighlightsCode0
iPIC-XAI: Improving PIC-XAI for Enhanced Image Captioning ExplanationCode0
Auto-Encoding Scene Graphs for Image CaptioningCode0
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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