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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 1701–1750 of 1878 papers

TitleStatusHype
Intrinsic Image Captioning Evaluation—0
Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics—0
Is An Image Worth Five Sentences? A New Look into Semantics for Image-Text Matching—0
It Isn't Sh!tposting, It's My CAT Posting—0
I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning—0
``I've Seen Things You People Wouldn't Believe'': Hallucinating Entities in GuessWhat?!—0
JEEM: Vision-Language Understanding in Four Arabic Dialects—0
Jewelry Recognition via Encoder-Decoder Models—0
Joint Image Captioning and Question Answering—0
Joint Optimization for Cooperative Image Captioning—0
JPG - Jointly Learn to Align: Automated Disease Prediction and Radiology Report Generation—0
Jump Self-attention: Capturing High-order Statistics in Transformers—0
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication—0
KENGIC: KEyword-driven and N-Gram Graph based Image Captioning—0
Knowing When to Stop: Evaluation and Verification of Conformity to Output-size Specifications—0
Knowledge driven Description Synthesis for Floor Plan Interpretation—0
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge—0
KTVIC: A Vietnamese Image Captioning Dataset on the Life Domain—0
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals—0
LangNav: Language as a Perceptual Representation for Navigation—0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—0
Language-Guided Contrastive Audio-Visual Masked Autoencoder with Automatically Generated Audio-Visual-Text Triplets from Videos—0
Language Is Not All You Need: Aligning Perception with Language Models—0
Language Models are General-Purpose Interfaces—0
Language Models for Image Captioning: The Quirks and What Works—0
Large Language Model Benchmarks in Medical Tasks—0
Large Language Models for Captioning and Retrieving Remote Sensing Images—0
Large Scale Multi-Domain Multi-Task Learning with MultiModel—0
Large-scale representation learning from visually grounded untranscribed speech—0
LAVIS: A Library for Language-Vision Intelligence—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
Learning Audio-Video Modalities from Image Captions—0
Learning-based Composite Metrics for Improved Caption Evaluation—0
Learning Combinatorial Prompts for Universal Controllable Image Captioning—0
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition—0
Learning Compact Reward for Image Captioning—0
Learning Hard Alignments with Variational Inference—0
Learning How To Ask: Cycle-Consistency Refines Prompts in Multimodal Foundation Models—0
Learning Human-Human Interactions in Images from Weak Textual Supervision—0
Learning Long- and Short-Term User Literal-Preference with Multimodal Hierarchical Transformer Network for Personalized Image Caption—0
Learning Object Detection from Captions via Textual Scene Attributes—0
Learning Object Interactions and Descriptions for Semantic Image Segmentation—0
Learning Structural Representations for Recipe Generation and Food Retrieval—0
Learning text-to-video retrieval from image captioning—0
Learning The Sequential Temporal Information with Recurrent Neural Networks—0
Injecting Prior Knowledge into Image Caption Generation—0
Learning to Collocate Neural Modules for Image Captioning—0
Learning to Disambiguate by Asking Discriminative Questions—0
Learning to generalize to new compositions in image understanding—0
Learning to Guide Decoding for Image Captioning—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