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 901–950 of 1878 papers

TitleStatusHype
Text-based Person Search without Parallel Image-Text Data—0
A request for clarity over the End of Sequence token in the Self-Critical Sequence TrainingCode0
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment—0
DiffCap: Exploring Continuous Diffusion on Image Captioning—0
Semantic Composition in Visually Grounded Language Models—0
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of ImagesCode0
Simple Token-Level Confidence Improves Caption Correctness—0
Towards L-System Captioning for Tree Reconstruction—0
Exploiting Pseudo Image Captions for Multimodal Summarization—0
UIT-OpenViIC: A Novel Benchmark for Evaluating Image Captioning in Vietnamese—0
A Suite of Generative Tasks for Multi-Level Multimodal Webpage UnderstandingCode0
The Role of Data Curation in Image CaptioningCode0
Image Captioners Sometimes Tell More Than Images They See—0
Multimodal Data Augmentation for Image Captioning using Diffusion ModelsCode0
Making the Most of What You Have: Adapting Pre-trained Visual Language Models in the Low-data Regime—0
Fairness in AI Systems: Mitigating gender bias from language-vision models—0
Quality-agnostic Image Captioning to Safely Assist People with Vision Impairment—0
Learning Human-Human Interactions in Images from Weak Textual Supervision—0
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image ModelsCode0
A-CAP: Anticipation Captioning with Commonsense Knowledge—0
Boosting Cross-task Transferability of Adversarial Patches with Visual Relations—0
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT—0
ImageCaptioner^2: Image Captioner for Image Captioning Bias Amplification Assessment—0
Model-Agnostic Gender Debiased Image CaptioningCode0
Towards Self-Explainability of Deep Neural Networks with Heatmap Captioning and Large-Language Models—0
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data—0
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
Variational Distribution Learning for Unsupervised Text-to-Image Generation—0
Open-Vocabulary Object Detection using Pseudo Caption Labels—0
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
Learning Combinatorial Prompts for Universal Controllable Image Captioning—0
Adapting Contrastive Language-Image Pretrained (CLIP) Models for Out-of-Distribution DetectionCode0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
Comparative study of Transformer and LSTM Network with attention mechanism on Image Captioning—0
Language Is Not All You Need: Aligning Perception with Language Models—0
Tuning computer vision models with task rewards—0
See Your Heart: Psychological states Interpretation through Visual Creations—0
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning—0
Nemesis: Neural Mean Teacher Learning-Based Emotion-Centric Speaker—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
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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