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 1101–1150 of 1878 papers

TitleStatusHype
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-TrainingCode1
Visual representation of negation: Real world data analysis on comic image design—0
More Than Just Attention: Improving Cross-Modal Attentions with Contrastive Constraints for Image-Text Matching—0
Dependent Multi-Task Learning with Causal Intervention for Image Captioning—0
Multi-Modal Image Captioning for the Visually Impaired—0
Survey of Visual-Semantic Embedding Methods for Zero-Shot Image Retrieval—0
Empirical Analysis of Image Caption Generation using Deep Learning—0
Connecting What to Say With Where to Look by Modeling Human Attention TracesCode1
Instance-aware Remote Sensing Image Captioning with Cross-hierarchy Attention—0
A Hybrid Model for Combining Neural Image Caption and k-Nearest Neighbor Approach for Image CaptioningCode0
Passage Retrieval for Outside-Knowledge Visual Question AnsweringCode1
Exploring Explicit and Implicit Visual Relationships for Image Captioning—0
End-to-End Attention-based Image CaptioningCode0
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image CaptioningCode0
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning—0
RelTransformer: A Transformer-Based Long-Tail Visual Relationship RecognitionCode1
Towards Accurate Text-based Image Captioning with Content Diversity ExplorationCode1
CLIPScore: A Reference-free Evaluation Metric for Image CaptioningCode1
Concadia: Towards Image-Based Text Generation with a PurposeCode1
"Wikily" Supervised Neural Translation Tailored to Cross-Lingual TasksCode0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
Compressing Visual-linguistic Model via Knowledge Distillation—0
Exploiting Image–Text Synergy for Contextual Image Captioning—0
Making Use of Latent Space in Language GANs for Generating Diverse Text without Pre-training—0
On Hallucination and Predictive Uncertainty in Conditional Language Generation—0
Human-like Controllable Image Captioning with Verb-specific Semantic RolesCode1
#PraCegoVer: A Large Dataset for Image Captioning in PortugueseCode0
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model—0
A Comprehensive Survey of Scene Graphs: Generation and Application—0
Knowledge driven Description Synthesis for Floor Plan Interpretation—0
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-TrainingCode1
Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and ArticlesCode1
Analysis of Convolutional Decoder for Image Caption Generation—0
Visual Question Answering: which investigated applications?Code0
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization—0
Retrieval Augmentation for Deep Neural NetworksCode0
Enhanced Modality Transition for Image Captioning—0
Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation—0
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image CaptioningCode1
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual ConceptsCode1
Image Captioning using Multiple Transformers for Self-Attention Mechanism—0
Improved Bengali Image Captioning via deep convolutional neural network based encoder-decoder modelCode0
In Defense of Scene Graphs for Image CaptioningCode1
Iconographic Image Captioning for ArtworksCode0
Unifying Vision-and-Language Tasks via Text GenerationCode1
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals—0
The Role of Syntactic Planning in Compositional Image CaptioningCode0
CPTR: Full Transformer Network for Image Captioning—0
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning—0
Fast Sequence Generation with Multi-Agent Reinforcement Learning—0
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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