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 1151–1200 of 1878 papers

TitleStatusHype
Cross Modification Attention Based Deliberation Model for Image Captioning—0
Label-Attention Transformer with Geometrically Coherent Objects for Image CaptioningCode0
Image Captioning for Effective Use of Language Models in Knowledge-Based Visual Question AnsweringCode0
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation—0
Bornon: Bengali Image Captioning with Transformer-based Deep learning approach—0
Partially-Supervised Novel Object Captioning Leveraging Context from Paired Data—0
Vision Matters When It Should: Sanity Checking Multimodal Machine Translation ModelsCode0
RefineCap: Concept-Aware Refinement for Image Captioning—0
Journalistic Guidelines Aware News Image CaptioningCode0
LAViTeR: Learning Aligned Visual and Textual Representations Assisted by Image and Caption GenerationCode0
IMG2SMI: Translating Molecular Structure Images to Simplified Molecular-input Line-entry System—0
Similar Scenes arouse Similar Emotions: Parallel Data Augmentation for Stylized Image Captioning—0
Auto-Parsing Network for Image Captioning and Visual Question Answering—0
Group-based Distinctive Image Captioning with Memory Attention—0
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image CaptioningCode0
Leveraging Human Attention in Novel Object CaptioningCode0
VisBuddy -- A Smart Wearable Assistant for the Visually Challenged—0
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image CaptioningCode0
Neural Twins Talk & Alternative CalculationsCode0
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning—0
ICECAP: Information Concentrated Entity-aware Image CaptioningCode0
Distributed Attention for Grounded Image Captioning—0
Control Image Captioning Spatially and Temporally—0
NLPHut’s Participation at WAT2021—0
利用图像描述与知识图谱增强表示的视觉问答(Exploiting Image Captions and External Knowledge as Representation Enhancement for Visual Question Answering)—0
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning—0
``I've Seen Things You People Wouldn't Believe'': Hallucinating Entities in GuessWhat?!—0
Enhancing Descriptive Image Captioning with Natural Language InferenceCode0
ReFormer: The Relational Transformer for Image CaptioningCode0
Experimenting with Self-Supervision using Rotation Prediction for Image CaptioningCode0
A Thorough Review on Recent Deep Learning Methodologies for Image Captioning—0
Boosting Entity-aware Image Captioning with Multi-modal Knowledge Graph—0
Global Object Proposals for Improving Multi-Sentence Video DescriptionsCode0
From Show to Tell: A Survey on Deep Learning-based Image Captioning—0
An encoder-decoder based framework for hindi image caption generation—0
Controlled Caption Generation for Images Through Adversarial Attacks—0
Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation—0
Egocentric Image Captioning for Privacy-Preserved Passive Dietary Intake Monitoring—0
Contrastive Semantic Similarity Learning for Image Captioning Evaluation with Intrinsic Auto-encoder—0
TCIC: Theme Concepts Learning Cross Language and Vision for Image Captioning—0
Trust It or Not: Confidence-Guided Automatic Radiology Report Generation—0
Exploring Semantic Relationships for Unpaired Image Captioning—0
FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation—0
Transitional Adaptation of Pretrained Models for Visual Storytelling—0
Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship—0
A Self-Boosting Framework for Automated Radiographic Report Generation—0
Predicting Visual Futures with Image Captioning and Pre-Trained Language Models—0
Data augmentation to improve robustness of image captioning solutions—0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning—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