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 851–900 of 1878 papers

TitleStatusHype
ILLUME: Rationalizing Vision-Language Models through Human InteractionsCode0
Exploiting Multiple Sequence Lengths in Fast End to End Training for Image CaptioningCode1
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2—0
Analog Bits: Generating Discrete Data using Diffusion Models with Self-ConditioningCode1
Distinctive Image Captioning via CLIP Guided Group Optimization—0
RadTex: Learning Efficient Radiograph Representations from Text Reports—0
Prompt Tuning for Generative Multimodal Pretrained Models—0
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology—0
Retrieval-Augmented Transformer for Image Captioning—0
Zero-Shot Video Captioning with Evolving Pseudo-TokensCode1
Rethinking the Reference-based Distinctive Image CaptioningCode0
Efficient Modeling of Future Context for Image CaptioningCode0
GRIT: Faster and Better Image captioning Transformer Using Dual Visual FeaturesCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
LineCap: Line Charts for Data Visualization Captioning ModelsCode0
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
Predicting Word Learning in Children from the Performance of Computer Vision Systems—0
Exploring the sequence length bottleneck in the Transformer for Image CaptioningCode0
Detecting and Recovering Sequential DeepFake ManipulationCode1
Are metrics measuring what they should? An evaluation of image captioning task metrics—0
MilaNLP at SemEval-2022 Task 5: Using Perceiver IO for Detecting Misogynous Memes with Text and Image ModalitiesCode0
American == White in Multimodal Language-and-Image AI—0
ZoDIAC: Zoneout Dropout Injection Attention CalculationCode0
Competence-based Multimodal Curriculum Learning for Medical Report Generation—0
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection—0
What is Where by Looking: Weakly-Supervised Open-World Phrase-Grounding without Text InputsCode1
A Self-Guided Framework for Radiology Report Generation—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Image Captioning based on Feature Refinement and Reflective Decoding—0
A Unified Sequence Interface for Vision Tasks—0
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
Measuring Representational Harms in Image Captioning—0
Comprehending and Ordering Semantics for Image CaptioningCode2
Language Models are General-Purpose Interfaces—0
GLIPv2: Unifying Localization and Vision-Language UnderstandingCode4
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEsCode2
Intra-agent speech permits zero-shot task acquisition—0
Improving Image Captioning with Control Signal of Sentence Quality—0
Examining the Effects of Language-and-Vision Data Augmentation for Generation of Descriptions of Human Faces—0
Visual Transformer for Object Detection—0
Expressive Scene Graph Generation Using Commonsense Knowledge Infusion for Visual Understanding and ReasoningCode1
BAN-Cap: A Multi-Purpose English-Bangla Image Descriptions DatasetCode0
Variational Transformer: A Framework Beyond the Trade-off between Accuracy and Diversity for Image CaptioningCode0
GIT: A Generative Image-to-text Transformer for Vision and LanguageCode2
Prompt-based Learning for Unpaired Image Captioning—0
Fine-grained Image Captioning with CLIP RewardCode2
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsCode1
Reassessing Evaluation Practices in Visual Question Answering: A Case Study on Out-of-Distribution Generalization—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