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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 251–300 of 1878 papers

TitleStatusHype
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
Bi-LORA: A Vision-Language Approach for Synthetic Image DetectionCode1
FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in ContextCode1
Kosmos-2: Grounding Multimodal Large Language Models to the WorldCode1
It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data CollectionCode1
Can We Talk Models Into Seeing the World Differently?Code1
Injecting Semantic Concepts into End-to-End Image CaptioningCode1
LaB-RAG: Label Boosted Retrieval Augmented Generation for Radiology Report GenerationCode1
Improving Image Captioning with Better Use of CaptionsCode1
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer NetworkCode1
In Defense of Grid Features for Visual Question AnsweringCode1
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language ModelsCode1
Contrastive Vision-Language Alignment Makes Efficient Instruction LearnerCode1
ImageNet3D: Towards General-Purpose Object-Level 3D UnderstandingCode1
InfMLLM: A Unified Framework for Visual-Language TasksCode1
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?Code1
Let there be a clock on the beach: Reducing Object Hallucination in Image CaptioningCode1
Concadia: Towards Image-Based Text Generation with a PurposeCode1
Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future PerspectivesCode1
Image Captioning In the Transformer AgeCode1
I Can't Believe There's No Images! Learning Visual Tasks Using only Language SupervisionCode1
IC3: Image Captioning by Committee ConsensusCode1
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language ModelsCode1
Image Captioning through Image TransformerCode1
Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation ModelsCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
COCO-Stuff: Thing and Stuff Classes in ContextCode1
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
Human-like Controllable Image Captioning with Verb-specific Semantic RolesCode1
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language ModelsCode1
Compact Bidirectional Transformer for Image CaptioningCode1
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual ConceptsCode1
IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot CaptioningCode1
Hard Non-Monotonic Attention for Character-Level TransductionCode1
Comprehensive Image Captioning via Scene Graph DecompositionCode1
CaMEL: Mean Teacher Learning for Image CaptioningCode1
Benchmarking Robustness of Multimodal Image-Text Models under Distribution ShiftCode1
ACORT: A Compact Object Relation Transformer for Parameter Efficient Image CaptioningCode1
Can Audio Captions Be Evaluated with Image Caption Metrics?Code1
BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual CuesCode1
Are scene graphs good enough to improve Image Captioning?Code1
Consensus-Aware Visual-Semantic Embedding for Image-Text MatchingCode1
Connecting What to Say With Where to Look by Modeling Human Attention TracesCode1
Coarse-to-Fine Vision-Language Pre-training with Fusion in the BackboneCode1
InfoMetIC: An Informative Metric for Reference-free Image Caption EvaluationCode1
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource LanguagesCode1
Investigating Prompting Techniques for Zero- and Few-Shot Visual Question AnsweringCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
Brain Captioning: Decoding human brain activity into images and textCode1
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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