SOTAVerified

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 1501–1550 of 1878 papers

TitleStatusHype
Multimodal Transformer with Multi-View Visual Representation for Image Captioning—0
Multi-Reference Training with Pseudo-References for Neural Translation and Text Generation—0
Multi-view and Cross-view Brain Decoding—0
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data—0
MUTT: Metric Unit TesTing for Language Generation Tasks—0
MyVLM: Personalizing VLMs for User-Specific Queries—0
Natural Language Generation—0
Natural Language Statistical Features of LSTM-generated Texts—0
Nemesis: Neural Mean Teacher Learning-Based Emotion-Centric Speaker—0
Netizen-Style Commenting on Fashion Photos: Dataset and Diversity Measures—0
Neural Attention for Image Captioning: Review of Outstanding Methods—0
Neural Caption Generation for News Images—0
Neural Headline Generation on Abstract Meaning Representation—0
Neural Image Captioning—0
Neural Joking Machine : Humorous image captioning—0
Neural Machine Translation: Basics, Practical Aspects and Recent Trends—0
Learning to Collocate Visual-Linguistic Neural Modules for Image CaptioningCode0
Rethinking the Reference-based Distinctive Image CaptioningCode0
Learning to Evaluate Image CaptioningCode0
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic CorporaCode0
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of ImagesCode0
Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder NetworkCode0
Retrieval Augmentation for Deep Neural NetworksCode0
Evaluating and interpreting caption prediction for histopathology imagesCode0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
The Power of Many: Multi-Agent Multimodal Models for Cultural Image CaptioningCode0
Learning Visually-Grounded Semantics from Contrastive Adversarial SamplesCode0
BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions DatasetCode0
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge MemoryCode0
Learning a Deep Embedding Model for Zero-Shot LearningCode0
AlphaX: eXploring Neural Architectures with Deep Neural Networks and Monte Carlo Tree SearchCode0
The Role of Syntactic Planning in Compositional Image CaptioningCode0
Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-TuningCode0
Leveraging Human Attention in Novel Object CaptioningCode0
Leveraging image captions for selective whole slide image annotationCode0
Women Wearing Lipstick: Measuring the Bias Between an Object and Its Related GenderCode0
Aligning where to see and what to tell: image caption with region-based attention and scene factorizationCode0
Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image CaptioningCode0
Enhancing Descriptive Image Captioning with Natural Language InferenceCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERTCode0
Learning to Caption Images through a Lifetime by Asking QuestionsCode0
End-to-end Image Captioning Exploits Distributional Similarity in Multimodal SpaceCode0
End-to-End Attention-based Image CaptioningCode0
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption GenerationCode0
Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesCode0
LineCap: Line Charts for Data Visualization Captioning ModelsCode0
ELIP: Efficient Language-Image Pre-training with Fewer Vision TokensCode0
Language Models as Knowledge Bases for Visual Word Sense DisambiguationCode0
TIGEr: Text-to-Image Grounding for Image Caption EvaluationCode0
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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