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 1701–1750 of 1878 papers

TitleStatusHype
Caption Enriched Samples for Improving Hateful Memes DetectionCode0
Adaptive Correlated Monte Carlo for Contextual Categorical Sequence GenerationCode0
Neural Twins TalkCode0
Neural Twins Talk & Alternative CalculationsCode0
Show, Translate and TellCode0
Guided Open Vocabulary Image Captioning with Constrained Beam SearchCode0
Decoupled Novel Object CaptionerCode0
Decoding fMRI Data into Captions using Prefix Language ModelingCode0
SilVar: Speech Driven Multimodal Model for Reasoning Visual Question Answering and Object LocalizationCode0
Translating speech with just imagesCode0
simNet: Stepwise Image-Topic Merging Network for Generating Detailed and Comprehensive Image CaptionsCode0
CAPEEN: Image Captioning with Early Exits and Knowledge DistillationCode0
What is image captioning made of?Code0
nocaps: novel object captioning at scaleCode0
The Role of Data Curation in Image CaptioningCode0
GSRFormer: Grounded Situation Recognition Transformer with Alternate Semantic Attention RefinementCode0
No Metrics Are Perfect: Adversarial Reward Learning for Visual StorytellingCode0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
What Is Missing in Multilingual Visual Reasoning and How to Fix ItCode0
Treble Counterfactual VLMs: A Causal Approach to HallucinationCode0
Group Relative Policy Optimization for Image CaptioningCode0
A Critical Review of Recurrent Neural Networks for Sequence LearningCode0
Top-Down Framework for Weakly-supervised Grounded Image CaptioningCode0
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question AnsweringCode0
Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)Code0
Object-Centric Unsupervised Image CaptioningCode0
TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image CaptioningCode0
Object Hallucination in Image CaptioningCode0
SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality AnalysisCode0
TS-RGBD Dataset: a Novel Dataset for Theatre Scenes Description for People with Visual ImpairmentsCode0
Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguageCode0
Grand Challenge On Detecting CheapfakesCode0
OmniNet: A unified architecture for multi-modal multi-task learningCode0
Grad-CAM: Why did you say that?Code0
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image ModelsCode0
Sparse and Structured Visual AttentionCode0
What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?Code0
A Semi-supervised Framework for Image CaptioningCode0
Are Vision LLMs Road-Ready? A Comprehensive Benchmark for Safety-Critical Driving Video UnderstandingCode0
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation ModelsCode0
Can adversarial training learn image captioning ?Code0
On Measuring Gender Bias in Translation of Gender-neutral PronounsCode0
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise FeaturesCode0
GPTs Are Multilingual Annotators for Sequence Generation TasksCode0
Core Tokensets for Data-efficient Sequential Training of TransformersCode0
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined HighlightsCode0
On the Interpretability of Attention NetworksCode0
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution DetectionCode0
A Hierarchical Approach for Generating Descriptive Image ParagraphsCode0
Stack-Captioning: Coarse-to-Fine Learning for Image CaptioningCode0
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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