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 1401–1450 of 1878 papers

TitleStatusHype
Describing image focused in cognitive and visual details for visually impaired people: An approach to generating inclusive paragraphs—0
Describing Semantic Representations of Brain Activity Evoked by Visual Stimuli—0
Designing a Robust Radiology Report Generation System—0
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps—0
Diagnostic Captioning: A Survey—0
Dialog Generation Using Multi-Turn Reasoning Neural Networks—0
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis—0
Cap2Aug: Caption guided Image to Image data Augmentation—0
DiffCap: Exploring Continuous Diffusion on Image Captioning—0
Differentiable Expected BLEU for Text Generation—0
DIFNet: Boosting Visual Information Flow for Image Captioning—0
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention—0
DIR: Retrieval-Augmented Image Captioning with Comprehensive Understanding—0
Disambiguated skip-gram model—0
Discoverability in Satellite Imagery: A Good Sentence is Worth a Thousand Pictures—0
Discovering Non-Monotonic Autoregressive Ordering for Text Generation Models using Sinkhorn Distributions—0
Discovery and usage of joint attention in images—0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey—0
Distinctive Image Captioning via CLIP Guided Group Optimization—0
Distinctive-attribute Extraction for Image Captioning—0
Distributed Attention for Grounded Image Captioning—0
Diverse and Coherent Paragraph Generation from Images—0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
DLIP: Distilling Language-Image Pre-training—0
Do DALL-E and Flamingo Understand Each Other?—0
Does Multimodality Help Human and Machine for Translation and Image Captioning?—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Domain-Independent Captioning of Domain-Specific Images—0
Domain-Specific Image Captioning—0
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?—0
Double Visual Defense: Adversarial Pre-training and Instruction Tuning for Improving Vision-Language Model Robustness—0
Doubly Attentive Transformer Machine Translation—0
Downstream-Pretext Domain Knowledge Traceback for Active Learning—0
DRAMA: Joint Risk Localization and Captioning in Driving—0
Dropout during inference as a model for neurological degeneration in an image captioning network—0
DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration—0
Dual Attention on Pyramid Feature Maps for Image Captioning—0
Dual-CNN: A Convolutional language decoder for paragraph image captioning—0
DU-VLG: Unifying Vision-and-Language Generation via Dual Sequence-to-Sequence Pre-training—0
Dynamic Feature Selection with Attention in Incremental Parsing—0
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning—0
Éclair -- Extracting Content and Layout with Integrated Reading Order for Documents—0
ECOL-R: Encouraging Copying in Novel Object Captioning with Reinforcement Learning—0
Edit Flows: Flow Matching with Edit Operations—0
Edit me: A Corpus and a Framework for Understanding Natural Language Image Editing—0
Effect of Data Annotation, Feature Selection and Model Choice on Spatial Description Generation in French—0
Efficient Few-Shot Continual Learning in Vision-Language Models—0
Efficient Image Captioning for Edge Devices—0
Efficient Multi-modal Large Language Models via Visual Token Grouping—0
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring—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