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 351–400 of 1878 papers

TitleStatusHype
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only TrainingCode1
Bootstrapping Interactive Image-Text Alignment for Remote Sensing Image CaptioningCode1
Boostlet.js: Image processing plugins for the web via JavaScript injectionCode1
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report GenerationCode1
Length-Controllable Image CaptioningCode1
Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial TrajectoryCode1
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal ModelCode1
PAINT: Paying Attention to INformed Tokens to Mitigate Hallucination in Large Vision-Language ModelCode1
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language ModelingCode1
RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene GraphsCode1
CrossGET: Cross-Guided Ensemble of Tokens for Accelerating Vision-Language TransformersCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
Comprehensive Image Captioning via Scene Graph DecompositionCode1
Let there be a clock on the beach: Reducing Object Hallucination in Image CaptioningCode1
Latent Normalizing Flows for Many-to-Many Cross-Domain MappingsCode1
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in ContextCode1
Concadia: Towards Image-Based Text Generation with a PurposeCode1
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual ConceptsCode1
Self-critical Sequence Training for Image CaptioningCode1
Confidence-aware Non-repetitive Multimodal Transformers for TextCapsCode1
COSMic: A Coherence-Aware Generation Metric for Image DescriptionsCode1
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image AnalysisCode1
LAVCap: LLM-based Audio-Visual Captioning using Optimal TransportCode1
Connecting What to Say With Where to Look by Modeling Human Attention TracesCode1
Consensus-Aware Visual-Semantic Embedding for Image-Text MatchingCode1
Generalizing from SIMPLE to HARD Visual Reasoning: Can We Mitigate Modality Imbalance in VLMs?Code1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
Show, Deconfound and Tell: Image Captioning With Causal InferenceCode1
Genixer: Empowering Multimodal Large Language Models as a Powerful Data GeneratorCode1
Sieve: Multimodal Dataset Pruning Using Image Captioning ModelsCode1
Learning Distinct and Representative Styles for Image CaptioningCode1
ConvNet Architecture Search for Spatiotemporal Feature LearningCode1
Detecting and Recovering Sequential DeepFake ManipulationCode1
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language ModelsCode1
Convolutional Image CaptioningCode1
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language ModelsCode1
End-to-End Transformer Based Model for Image CaptioningCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Learning to Generate Grounded Visual Captions without Localization SupervisionCode1
LIME: Less Is More for MLLM EvaluationCode1
G-VEval: A Versatile Metric for Evaluating Image and Video Captions Using GPT-4oCode1
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?Code1
Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only TrainingCode1
Hard Non-Monotonic Attention for Character-Level TransductionCode1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
Harnessing the Power of Large Vision Language Models for Synthetic Image DetectionCode1
Analog Bits: Generating Discrete Data using Diffusion Models with Self-ConditioningCode1
Paying Attention to Descriptions Generated by Image Captioning ModelsCode1
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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