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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 851–900 of 1878 papers

TitleStatusHype
UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity—0
Diffusion Based Augmentation for Captioning and Retrieval in Cultural HeritageCode0
IIHT: Medical Report Generation with Image-to-Indicator Hierarchical Transformer—0
Informative Scene Graph Generation via Debiasing—0
Asynchronous Evolution of Deep Neural Network Architectures—0
Building Safe and Reliable AI systems for Safety Critical Tasks with Vision-Language Processing—0
Improving Generalization of Image Captioning with Unsupervised Prompt Learning—0
A Comprehensive Analysis of Real-World Image Captioning and Scene Identification—0
Multimodal Neurons in Pretrained Text-Only Transformers—0
ADS-Cap: A Framework for Accurate and Diverse Stylized Captioning with Unpaired Stylistic CorporaCode0
TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual ImpairmentsCode0
Visual Captioning at Will: Describing Images and Videos Guided by a Few Stylized Sentences—0
Guiding Image Captioning Models Toward More Specific Captions—0
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence GenerationCode0
Causal reasoning in typical computer vision tasks—0
Enhancing image captioning with depth information using a Transformer-based framework—0
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?—0
Improving Multimodal Datasets with Image Captioning—0
Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning—0
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes—0
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMsCode0
Reading Radiology Imaging Like The Radiologist—0
Multimodal Prompt Learning for Product Title Generation with Extremely Limited Labels—0
More for Less: Compact Convolutional Transformers Enable Robust Medical Image Classification with Limited Data—0
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity—0
Semi-supervised Multimodal Representation Learning through a Global WorkspaceCode0
Self-Supervised Image Captioning with CLIP—0
Improving Reference-based Distinctive Image Captioning with Contrastive Rewards—0
Improving Image Captioning Descriptiveness by Ranking and LLM-based Fusion—0
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge—0
Image Captioners Are Scalable Vision Learners Too—0
Top-Down Framework for Weakly-supervised Grounded Image CaptioningCode0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
Putting Humans in the Image Captioning Loop—0
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory—0
SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure CaptioningCode0
Composition and Deformance: Measuring Imageability with a Text-to-Image ModelCode0
Cheap-fake Detection with LLM using Prompt Engineering—0
"Let's not Quote out of Context": Unified Vision-Language Pretraining for Context Assisted Image Captioning—0
LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model PromptingCode0
Image Captioning with Multi-Context Synthetic Data—0
Green Runner: A tool for efficient model selection from model repositories—0
Mindstorms in Natural Language-Based Societies of Mind—0
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning—0
An Examination of the Robustness of Reference-Free Image Captioning Evaluation MetricsCode0
Alt-Text with Context: Improving Accessibility for Images on Twitter—0
Gender Biases in Automatic Evaluation Metrics for Image CaptioningCode0
Exploring Affordance and Situated Meaning in Image Captions: A Multimodal Analysis—0
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought—0
PIC-XAI: Post-hoc Image Captioning Explanation using SegmentationCode0
Show:102550
← PrevPage 18 of 38Next →
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