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 1451–1500 of 1878 papers

TitleStatusHype
Embedded Heterogeneous Attention Transformer for Cross-lingual Image Captioning—0
Embodied Agents for Efficient Exploration and Smart Scene Description—0
EmbodiedGPT: Vision-Language Pre-Training via Embodied Chain of Thought—0
Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions—0
EmojiGAN: learning emojis distributions with a generative model—0
Empirical Analysis of Image Caption Generation using Deep Learning—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
End-to-end Image Captioning Exploits Multimodal Distributional Similarity—0
Engaging Image Captioning Via Personality—0
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning—0
Enhanced Knowledge Injection for Radiology Report Generation—0
Enhanced Modality Transition for Image Captioning—0
Enhanced Multimodal RAG-LLM for Accurate Visual Question Answering—0
Enhancing Explainability in Multimodal Large Language Models Using Ontological Context—0
Enhancing image captioning with depth information using a Transformer-based framework—0
Enhancing Image Captioning with Neural Models—0
Enhancing Journalism with AI: A Study of Contextualized Image Captioning for News Articles using LLMs and LMMs—0
Enhancing Scientific Figure Captioning Through Cross-modal Learning—0
Entangled Transformer for Image Captioning—0
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition—0
Entity-aware Image Caption Generation—0
EAMA : Entity-Aware Multimodal Alignment Based Approach for News Image Captioning—0
Equal But Not The Same: Understanding the Implicit Relationship Between Persuasive Images and Text—0
ErgoChat: a Visual Query System for the Ergonomic Risk Assessment of Construction Workers—0
Error-Correcting Neural Sequence Prediction—0
Evaluating authenticity and quality of image captions via sentiment and semantic analyses—0
Evaluating Automatically Generated Phoneme Captions for Images—0
Evaluating Image Caption via Cycle-consistent Text-to-Image Generation—0
IRR: Image Review Ranking Framework for Evaluating Vision-Language Models—0
EVCap: Retrieval-Augmented Image Captioning with External Visual-Name Memory for Open-World Comprehension—0
Event Recognition with Automatic Album Detection based on Sequential Processing, Neural Attention and Image Captioning—0
Event Specific Multimodal Pattern Mining with Image-Caption Pairs—0
Every picture tells a story: Image-grounded controllable stylistic story generation—0
EVLM: An Efficient Vision-Language Model for Visual Understanding—0
Examining the Effects of Language-and-Vision Data Augmentation for Generation of Descriptions of Human Faces—0
Explainable Image Captioning using CNN- CNN architecture and Hierarchical Attention—0
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning—0
Exploiting Image–Text Synergy for Contextual Image Captioning—0
Exploiting Pseudo Image Captions for Multimodal Summarization—0
A Novel Technique for Evidence based Conditional Inference in Deep Neural Networks via Latent Feature Perturbation—0
Explore and Tell: Embodied Visual Captioning in 3D Environments—0
Exploring and Distilling Cross-Modal Information for Image Captioning—0
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models—0
Exploring Explicit and Implicit Visual Relationships for Image Captioning—0
Exploring External Knowledge for Accurate modeling of Visual and Language Problems—0
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style—0
Exploring Semantic Relationships for Unpaired Image Captioning—0
Exploring Spatial Language Grounding Through Referring Expressions—0
Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions—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