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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 651–700 of 1878 papers

TitleStatusHype
EVLM: An Efficient Vision-Language Model for Visual Understanding—0
LookupViT: Compressing visual information to a limited number of tokens—0
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined HighlightsCode0
CIC-BART-SSA: Controllable Image Captioning with Structured Semantic AugmentationCode0
Leveraging image captions for selective whole slide image annotationCode0
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes—0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness—0
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Explainable Image Captioning using CNN- CNN architecture and Hierarchical Attention—0
RAVEN: Multitask Retrieval Augmented Vision-Language Learning—0
Towards Temporal Change Explanations from Bi-Temporal Satellite Images—0
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data—0
Enhancing Scientific Figure Captioning Through Cross-modal Learning—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Reinforcing Pre-trained Models Using Counterfactual Images—0
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?—0
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning—0
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst—0
From Pixels to Prose: A Large Dataset of Dense Image Captions—0
Translating speech with just imagesCode0
Understanding Retrieval Robustness for Retrieval-Augmented Image CaptioningCode0
Image Captioning via Dynamic Path CustomizationCode0
DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration—0
Image captioning in different languages—0
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation—0
Multi-Modal Generative Embedding Model—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Text-only Synthesis for Image Captioning—0
How Culturally Aware are Vision-Language Models?—0
LG-VQ: Language-Guided Codebook Learning—0
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models—0
Class-Conditional self-reward mechanism for improved Text-to-Image modelsCode0
Towards Retrieval-Augmented Architectures for Image Captioning—0
Contextual Emotion Recognition using Large Vision Language Models—0
Using Machine Translation to Augment Multilingual Classification—0
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language ModelCode0
Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus ScoresCode0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)—0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
What Makes for Good Image Captions?—0
Semi-supervised Text-based Person Search—0
Compressed Image Captioning using CNN-based Encoder-Decoder Framework—0
Learning text-to-video retrieval from image captioning—0
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language ResamplersCode0
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering—0
The Solution for the CVPR2024 NICE Image Captioning Challenge—0
ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image SynthesisCode0
Bridging Vision and Language Spaces with Assignment PredictionCode0
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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