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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 701–750 of 1878 papers

TitleStatusHype
Cross-Domain Image Captioning with Discriminative Finetuning—0
Grand Challenge On Detecting CheapfakesCode0
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations—0
AutoAD: Movie Description in ContextCode1
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report GenerationCode1
Variational Distribution Learning for Unsupervised Text-to-Image Generation—0
Open-Vocabulary Object Detection using Pseudo Caption Labels—0
MAGVLT: Masked Generative Vision-and-Language TransformerCode1
Positive-Augmented Contrastive Learning for Image and Video Captioning EvaluationCode1
Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings—0
Multi-modal reward for visual relationships-based image captioning—0
Visual Information Matters for ASR Error Correction—0
PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning—0
Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images—0
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual DescriptionsCode2
ZeroNLG: Aligning and Autoencoding Domains for Zero-Shot Multimodal and Multilingual Natural Language GenerationCode1
Learning Combinatorial Prompts for Universal Controllable Image Captioning—0
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution DetectionCode0
Spawrious: A Benchmark for Fine Control of Spurious Correlation BiasesCode1
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only TrainingCode1
Neighborhood Contrastive Transformer for Change CaptioningCode1
Comparative study of Transformer and LSTM Network with attention mechanism on Image Captioning—0
Prismer: A Vision-Language Model with Multi-Task ExpertsCode1
ConZIC: Controllable Zero-shot Image Captioning by Sampling-Based PolishingCode1
FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion TasksCode1
ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of PneumothoraxCode1
Language Is Not All You Need: Aligning Perception with Language Models—0
Retrieval-augmented Image CaptioningCode1
Tuning computer vision models with task rewards—0
Towards Local Visual Modeling for Image CaptioningCode1
See Your Heart: Psychological states Interpretation through Visual Creations—0
Nemesis: Neural Mean Teacher Learning-Based Emotion-Centric Speaker—0
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning—0
Stacked Cross-modal Feature Consolidation Attention Networks for Image Captioning—0
KENGIC: KEyword-driven and N-Gram Graph based Image Captioning—0
Transform, Contrast and Tell: Coherent Entity-Aware Multi-Image CaptioningCode0
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps—0
IC3: Image Captioning by Committee ConsensusCode1
UPop: Unified and Progressive Pruning for Compressing Vision-Language TransformersCode1
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks—0
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language ModelsCode4
Exploring External Knowledge for Accurate modeling of Visual and Language Problems—0
Paraphrase Acquisition from Image CaptionsCode0
Style-Aware Contrastive Learning for Multi-Style Image Captioning—0
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data—0
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation—0
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary StudyCode0
Visual Semantic Relatedness Dataset for Image CaptioningCode0
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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