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 651–700 of 1878 papers

TitleStatusHype
Label-Attention Transformer with Geometrically Coherent Objects for Image CaptioningCode0
iPIC-XAI: Improving PIC-XAI for Enhanced Image Captioning ExplanationCode0
Exploring Multi-Grained Concept Annotations for Multimodal Large Language ModelsCode0
Exploring Nearest Neighbor Approaches for Image CaptioningCode0
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video UnderstandingCode0
iParaphrasing: Extracting Visually Grounded Paraphrases via an ImageCode0
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning ModelsCode0
CAPEEN: Image Captioning with Early Exits and Knowledge DistillationCode0
End-to-End Instance Segmentation with Recurrent AttentionCode0
A Critical Review of Recurrent Neural Networks for Sequence LearningCode0
InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence GenerationCode0
Class-Conditional self-reward mechanism for improved Text-to-Image modelsCode0
Journalistic Guidelines Aware News Image CaptioningCode0
Aligning Linguistic Words and Visual Semantic Units for Image CaptioningCode0
Expressing Visual Relationships via LanguageCode0
End-to-end Image Captioning Exploits Distributional Similarity in Multimodal SpaceCode0
End-to-End Attention-based Image CaptioningCode0
Improving Image Captioning with Conditional Generative Adversarial NetsCode0
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image CaptioningCode0
Improving Reinforcement Learning Based Image Captioning with Natural Language PriorCode0
A High-Quality Text-Rich Image Instruction Tuning Dataset via Hybrid Instruction GenerationCode0
Improving Explicit Spatial Relationships in Text-to-Image Generation through an Automatically Derived DatasetCode0
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of ImagesCode0
Implicit Differentiable Outlier Detection Enable Robust Deep Multimodal AnalysisCode0
ELIP: Efficient Language-Image Pre-training with Fewer Vision TokensCode0
Can adversarial training learn image captioning ?Code0
Improved Bengali Image Captioning via deep convolutional neural network based encoder-decoder modelCode0
A request for clarity over the End of Sequence token in the Self-Critical Sequence TrainingCode0
Efficient Modeling of Future Context for Image CaptioningCode0
Can Active Memory Replace Attention?Code0
Improved Image Captioning via Policy Gradient optimization of SPIDErCode0
Neural Twins TalkCode0
Image Captioning using Deep Neural ArchitecturesCode0
Image Captioning: Transforming Objects into WordsCode0
Image Captioning via Dynamic Path CustomizationCode0
Efficient CNN-LSTM based Image Captioning using Neural Network CompressionCode0
Image Captioning with Attention for Smart Local Tourism using EfficientNetCode0
Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption UtilizationCode0
Image CaptioningCode0
A Hierarchical Approach for Generating Descriptive Image ParagraphsCode0
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 ChallengeCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
Aligning where to see and what to tell: image caption with region-based attention and scene factorizationCode0
Image Captioning with Clause-Focused Metrics in a Multi-Modal Setting for MarketingCode0
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
Image2tweet: Datasets in Hindi and English for Generating Tweets from ImagesCode0
Iconographic Image Captioning for ArtworksCode0
ICECAP: Information Concentrated Entity-aware Image CaptioningCode0
ICU: Conquering Language Barriers in Vision-and-Language Modeling by Dividing the Tasks into Image Captioning and Language UnderstandingCode0
Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language TasksCode0
Show:102550
← PrevPage 14 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