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 1301–1350 of 1878 papers

TitleStatusHype
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Context-Aware Group Captioning via Self-Attention and Contrastive Features—0
B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning—0
Evaluating Multimodal Representations on Visual Semantic Textual SimilarityCode1
MemCap: Memorizing Style Knowledge for Image CaptioningCode1
Consistent Multiple Sequence Decoding—0
More Grounded Image Captioning by Distilling Image-Text Matching ModelCode1
X-Linear Attention Networks for Image CaptioningCode1
Assessing Image Quality Issues for Real-World Problems—0
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning modelsCode1
TextCaps: a Dataset for Image Captioning with Reading Comprehension—0
Learning Compact Reward for Image Captioning—0
A Better Variant of Self-Critical Sequence TrainingCode2
Normalized and Geometry-Aware Self-Attention Network for Image Captioning—0
Deconfounded Image Captioning: A Causal Retrospect—0
Better Captioning with Sequence-Level Exploration—0
Show, Edit and Tell: A Framework for Editing Image CaptionsCode1
Captioning Images with Novel Objects via Online Vocabulary Expansion—0
XGPT: Cross-modal Generative Pre-Training for Image Captioning—0
Using Image Captions and Multitask Learning for Recommending Query Reformulations—0
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene GraphsCode1
Exploring and Distilling Cross-Modal Information for Image Captioning—0
Analysis of diversity-accuracy tradeoff in image captioningCode1
Visual Commonsense R-CNNCode1
Image to Language Understanding: Captioning approach—0
Captioning Images Taken by People Who Are Blind—0
When Radiology Report Generation Meets Knowledge Graph—0
Latent Normalizing Flows for Many-to-Many Cross-Domain MappingsCode1
Gaussian Smoothen Semantic Features (GSSF) -- Exploring the Linguistic Aspects of Visual Captioning in Indian Languages (Bengali) Using MSCOCO Framework—0
MRRC: Multiple Role Representation Crossover Interpretation for Image Captioning With R-CNN Feature Distribution Composition (FDC)—0
Dual-CNN: A Convolutional language decoder for paragraph image captioning—0
Sparse and Structured Visual AttentionCode0
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption—0
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling—0
UIT-ViIC: A Dataset for the First Evaluation on Vietnamese Image CaptioningCode0
iCap: Interactive Image Captioning with Predictive Text—0
aiTPR: Attribute Interaction-Tensor Product Representation for Image Caption—0
Adapting Grad-CAM for Embedding NetworksCode1
Show, Recall, and Tell: Image Captioning with Recall Mechanism—0
MHSAN: Multi-Head Self-Attention Network for Visual Semantic EmbeddingCode0
In Defense of Grid Features for Visual Question AnsweringCode1
Explain and Improve: LRP-Inference Fine-Tuning for Image Captioning ModelsCode0
Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures—0
HOW IMPORTANT ARE NETWORK WEIGHTS? TO WHAT EXTENT DO THEY NEED AN UPDATE?—0
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence GenerationCode0
Explicit Sparse Transformer: Concentrated Attention Through Explicit SelectionCode0
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity—0
Contextually Plausible and Diverse 3D Human Motion Prediction—0
Meshed-Memory Transformer for Image CaptioningCode0
Fast Image Caption Generation with Position Alignment—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