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
PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology—0
Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention—0
Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis—0
PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training—0
phi-LSTM: A Phrase-based Hierarchical LSTM Model for Image Captioning—0
Phrase-based Image Captioning—0
Phrase-based Image Captioning with Hierarchical LSTM Model—0
Physically Grounded Vision-Language Models for Robotic Manipulation—0
PICS: Pipeline for Image Captioning and Search—0
Pixels to Prose: Understanding the art of Image Captioning—0
Pointing Novel Objects in Image Captioning—0
PoseEmbroider: Towards a 3D, Visual, Semantic-aware Human Pose Representation—0
Pragmatically Informative Image Captioning with Character-Level Inference—0
Predicting Visual Futures with Image Captioning and Pre-Trained Language Models—0
Predicting Word Learning in Children from the Performance of Computer Vision Systems—0
Predictive linguistic cues for fake news: a societal artificial intelligence problem—0
Prefix-diffusion: A Lightweight Diffusion Model for Diverse Image Captioning—0
PreSTU: Pre-Training for Scene-Text Understanding—0
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning—0
Probing Cross-modal Semantics Alignment Capability from the Textual Perspective—0
Progress-Aware Video Frame Captioning—0
Prompt-based Learning for Unpaired Image Captioning—0
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3—0
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks—0
Prompt Tuning for Generative Multimodal Pretrained Models—0
Prophet Attention: Predicting Attention with Future Attention—0
Prophet Attention: Predicting Attention with Future Attention for Image Captioning—0
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension—0
Putting Humans in the Image Captioning Loop—0
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment—0
Quantifying the Gaps Between Translation and Native Perception in Training for Multimodal, Multilingual Retrieval—0
RadTex: Learning Efficient Radiograph Representations from Text Reports—0
RAVEN: Multitask Retrieval Augmented Vision-Language Learning—0
Reading Radiology Imaging Like The Radiologist—0
Recurrent Fusion Network for Image Captioning—0
Recurrent Image Captioner: Describing Images with Spatial-Invariant Transformation and Attention Filtering—0
Recurrent Models for Situation Recognition—0
Recurrent Relational Memory Network for Unsupervised Image Captioning—0
Redemption Score: An Evaluation Framework to Rank Image Captions While Redeeming Image Semantics and Language Pragmatics—0
Re-evaluating Automatic Metrics for Image Captioning—0
RefineCap: Concept-Aware Refinement for Image Captioning—0
Reflective Decoding Network for Image Captioning—0
Reinforcing an Image Caption Generator Using Off-Line Human Feedback—0
Reinforcing Pre-trained Models Using Counterfactual Images—0
Relational Reasoning using Prior Knowledge for Visual Captioning—0
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping—0
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes—0
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization—0
Rethinking the Form of Latent States in Image Captioning—0
VrR-VG: Refocusing Visually-Relevant Relationships—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