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 801–850 of 1878 papers

TitleStatusHype
Image Caption Generation for Low-Resource Assamese Language—0
Text-Only Training for Image Captioning using Noise-Injected CLIPCode2
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention—0
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning—0
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
PoseScript: Linking 3D Human Poses and Natural LanguageCode2
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text GenerationCode1
Image-Text Retrieval with Binary and Continuous Label Supervision—0
Prophet Attention: Predicting Attention with Future Attention for Image Captioning—0
Aligning MAGMA by Few-Shot Learning and Finetuning—0
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective—0
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero TrainingCode0
Vision-Language Pre-training: Basics, Recent Advances, and Future TrendsCode3
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot PromptingCode1
Visual Language Maps for Robot NavigationCode2
MMT: Image-guided Story Ending Generation with Multimodal Memory TransformerCode0
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error SynthesisCode1
Generating image captions with external encyclopedic knowledge—0
CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningCode1
Open-Vocabulary Semantic Segmentation with Mask-adapted CLIPCode2
Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge EnhancementCode1
Pix2Struct: Screenshot Parsing as Pretraining for Visual Language UnderstandingCode2
Learning to Collocate Visual-Linguistic Neural Modules for Image CaptioningCode0
Text-to-Audio Grounding Based Novel Metric for Evaluating Audio Caption Similarity—0
On the Effects of Video Grounding on Language Models—0
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis—0
JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation—0
Multi-view and Cross-view Brain Decoding—0
SmallCap: Lightweight Image Captioning Prompted with Retrieval AugmentationCode1
Linearly Mapping from Image to Text SpaceCode1
Medical Image Captioning via Generative Pretrained Transformers—0
Mr. Right: Multimodal Retrieval on Representation of ImaGe witH TextCode1
DRAMA: Joint Risk Localization and Captioning in Driving—0
Show, Interpret and Tell: Entity-aware Contextualised Image Captioning in Wikipedia—0
Toward 3D Spatial Reasoning for Human-like Text-based Visual Question Answering—0
Learning Distinct and Representative Styles for Image CaptioningCode1
Belief Revision based Caption Re-ranker with Visual Semantic InformationCode1
LAVIS: A Library for Language-Vision Intelligence—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
M^4I: Multi-modal Models Membership InferenceCode1
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
PreSTU: Pre-Training for Scene-Text Understanding—0
Every picture tells a story: Image-grounded controllable stylistic story generation—0
vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM—0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
A Medical Semantic-Assisted Transformer for Radiographic Report Generation—0
Target-oriented Sentiment Classification with Sequential Cross-modal Semantic GraphCode0
VAuLT: Augmenting the Vision-and-Language Transformer for Sentiment Classification on Social MediaCode1
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention RefinementCode0
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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