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 151–200 of 1878 papers

TitleStatusHype
Fashion Captioning: Towards Generating Accurate Descriptions with Semantic RewardsCode1
End-to-End Transformer Based Model for Image CaptioningCode1
BERTScore: Evaluating Text Generation with BERTCode1
Enhancing Vision-Language Pre-Training with Jointly Learned Questioner and Dense CaptionerCode1
Dual-Level Collaborative Transformer for Image CaptioningCode1
BERTGEN: Multi-task Generation through BERTCode1
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression RecognitionCode1
Enhancing Visual Question Answering through Question-Driven Image Captions as PromptsCode1
FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report GenerationCode1
Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement LearningCode1
Discovering Non-monotonic Autoregressive Orderings with Variational InferenceCode1
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsCode1
Differentially Private Representation Learning via Image CaptioningCode1
A Survey on Efficient Vision-Language ModelsCode1
Detecting and Recovering Sequential DeepFake ManipulationCode1
Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image CaptioningCode1
Diverse Image Captioning with Context-Object Split Latent SpacesCode1
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQACode1
Detecting Hate Speech in Multi-modal MemesCode1
Self-supervised Learning from a Multi-view PerspectiveCode1
DiffX: Guide Your Layout to Cross-Modal Generative ModelingCode1
Discovering Autoregressive Orderings with Variational InferenceCode1
DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text RetrievalCode1
Disentangled Pre-training for Human-Object Interaction DetectionCode1
Dense Relational Captioning: Triple-Stream Networks for Relationship-Based CaptioningCode1
Beyond Generation: Harnessing Text to Image Models for Object Detection and SegmentationCode1
DeeCap: Dynamic Early Exiting for Efficient Image CaptioningCode1
Dual-branch Hybrid Learning Network for Unbiased Scene Graph GenerationCode1
Adapting Grad-CAM for Embedding NetworksCode1
Egoshots, an ego-vision life-logging dataset and semantic fidelity metric to evaluate diversity in image captioning modelsCode1
DeltaNet:Conditional Medical Report Generation for COVID-19 DiagnosisCode1
End-to-End Supermask Pruning: Learning to Prune Image Captioning ModelsCode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationCode1
Evaluating Multimodal Representations on Visual Semantic Textual SimilarityCode1
Evolving Deep Neural NetworksCode1
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image CaptioningCode1
Exploring Discrete Diffusion Models for Image CaptioningCode1
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable FeaturesCode1
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph ParsingCode1
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image CaptioningCode1
Belief Revision based Caption Re-ranker with Visual Semantic InformationCode1
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training ModelCode1
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only TrainingCode1
Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation ApproachCode1
Do LVLMs Understand Charts? Analyzing and Correcting Factual Errors in Chart CaptioningCode1
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in ContextCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
A large annotated corpus for learning natural language inferenceCode1
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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