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 1351–1400 of 1878 papers

TitleStatusHype
Variational Distribution Learning for Unsupervised Text-to-Image Generation—0
Variational Structured Semantic Inference for Diverse Image Captioning—0
A Frustratingly Simple Approach for End-to-End Image Captioning—0
VCRScore: Image captioning metric based on V\&L Transformers, CLIP, and precision-recall—0
Vector Learning for Cross Domain Representations—0
ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models—0
Video Event Detection by Exploiting Word Dependencies from Image Captions—0
VideoGameBunny: Towards vision assistants for video games—0
VieCap4H-VLSP 2021: ObjectAoA-Enhancing performance of Object Relation Transformer with Attention on Attention for Vietnamese image captioning—0
vieCap4H-VLSP 2021: Vietnamese Image Captioning for Healthcare Domain using Swin Transformer and Attention-based LSTM—0
Violet: A Vision-Language Model for Arabic Image Captioning with Gemini Decoder—0
VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use—0
ViP-CNN: Visual Phrase Guided Convolutional Neural Network—0
VisBuddy -- A Smart Wearable Assistant for the Visually Challenged—0
VisCon-100K: Leveraging Contextual Web Data for Fine-tuning Vision Language Models—0
Vision and Language Integration: Moving beyond Objects—0
Vision Language Model-based Caption Evaluation Method Leveraging Visual Context Extraction—0
Vision Language Models Can Parse Floor Plan Maps—0
Vision-Language Models for Edge Networks: A Comprehensive Survey—0
Vision-Language Models Represent Darker-Skinned Black Individuals as More Homogeneous than Lighter-Skinned Black Individuals—0
Vision-to-Language Tasks Based on Attributes and Attention Mechanism—0
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays—0
Visual Analytics for Efficient Image Exploration and User-Guided Image Captioning—0
Visual Captioning at Will: Describing Images and Videos Guided by a Few Stylized Sentences—0
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions—0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
Visual Information Matters for ASR Error Correction—0
Visually Guided Spatial Relation Extraction from Text—0
Visual Question Answering Dataset for Bilingual Image Understanding: A Study of Cross-Lingual Transfer Using Attention Maps—0
Visual representation of negation: Real world data analysis on comic image design—0
Visual Transformer for Object Detection—0
ViTOC: Vision Transformer and Object-aware Captioner—0
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning—0
VLRM: Vision-Language Models act as Reward Models for Image Captioning—0
VolDoGer: LLM-assisted Datasets for Domain Generalization in Vision-Language Tasks—0
Wasserstein Barycenter Model Ensembling—0
Weakly Supervised Annotations for Multi-modal Greeting Cards Dataset—0
Denoising Large-Scale Image Captioning from Alt-text Data using Content Selection Models—0
WEmbSim: A Simple yet Effective Metric for Image Captioning—0
What a Whole Slide Image Can Tell? Subtype-guided Masked Transformer for Pathological Image Captioning—0
What Else Would I Like? A User Simulator using Alternatives for Improved Evaluation of Fashion Conversational Recommendation Systems—0
What Is a Good Caption? A Comprehensive Visual Caption Benchmark for Evaluating Both Correctness and Thoroughness—0
What is not where: the challenge of integrating spatial representations into deep learning architectures—0
When Radiology Report Generation Meets Knowledge Graph—0
When to Finish? Optimal Beam Search for Neural Text Generation (modulo beam size)—0
Where to Play: Retrieval of Video Segments using Natural-Language Queries—0
“Wikily” Supervised Neural Translation Tailored to Cross-Lingual Tasks—0
WMT 2016 Multimodal Translation System Description based on Bidirectional Recurrent Neural Networks with Double-Embeddings—0
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)—0
Would Deep Generative Models Amplify Bias in Future Models?—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