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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1201–1250 of 1878 papers

TitleStatusHype
Are metrics measuring what they should? An evaluation of image captioning task metrics—0
A Review of Multi-Modal Large Language and Vision Models—0
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding—0
A Scaled Encoder Decoder Network for Image Captioning in Hindi—0
A Self-Boosting Framework for Automated Radiographic Report Generation—0
A Self-Explainable Stylish Image Captioning Framework via Multi-References—0
A Self-Guided Framework for Radiology Report Generation—0
A sequential guiding network with attention for image captioning—0
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?—0
Assessing Image Quality Issues for Real-World Problems—0
Assisting Scene Graph Generation with Self-Supervision—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Astrea: A MOE-based Visual Understanding Model with Progressive Alignment—0
AstroLLaVA: towards the unification of astronomical data and natural language—0
A Survey of Evaluation Metrics Used for NLG Systems—0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
A survey on knowledge-enhanced multimodal learning—0
A Survey on Large Language Models from Concept to Implementation—0
Asynchronous Evolution of Deep Neural Network Architectures—0
A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning—0
A Thorough Review on Recent Deep Learning Methodologies for Image Captioning—0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)—0
Attend More Times for Image Captioning—0
Attention-based Multimodal Neural Machine Translation—0
Attention-based transformer models for image captioning across languages: An in-depth survey and evaluation—0
Attention Beam: An Image Captioning Approach—0
Attention Correctness in Neural Image Captioning—0
Attention Strategies for Multi-Source Sequence-to-Sequence Learning—0
Attentive Language Models—0
Attentive Tensor Product Learning—0
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries—0
Augmenting Image Question Answering Dataset by Exploiting Image Captions—0
A Unified Sequence Interface for Vision Tasks—0
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark—0
AutoCaption: Image Captioning with Neural Architecture Search—0
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language—0
Automated Audio Captioning with Recurrent Neural Networks—0
Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments—0
Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study—0
Automatic Myanmar Image Captioning using CNN and LSTM-Based Language Model—0
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment—0
Auto-Parsing Network for Image Captioning and Visual Question Answering—0
A vision-grounded dataset for predicting typical locations for verbs—0
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking—0
A Weighted Multi-Criteria Decision Making Approach for Image Captioning—0
AZMAT: Sentence Similarity Using Associative Matrices—0
Backdooring Vision-Language Models with Out-Of-Distribution Data—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Show:102550
← PrevPage 25 of 38Next →
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