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 1051–1100 of 1878 papers

TitleStatusHype
VisBuddy -- A Smart Wearable Assistant for the Visually Challenged—0
Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal VisionCode1
Neural Twins Talk & Alternative CalculationsCode0
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning—0
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image CaptioningCode0
ICECAP: Information Concentrated Entity-aware Image CaptioningCode0
Question-controlled Text-aware Image CaptioningCode1
Distributed Attention for Grounded Image Captioning—0
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning—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
NLPHut’s Participation at WAT2021—0
Enhancing Descriptive Image Captioning with Natural Language InferenceCode0
Control Image Captioning Spatially and Temporally—0
``I've Seen Things You People Wouldn't Believe'': Hallucinating Entities in GuessWhat?!—0
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
UMIC: An Unreferenced Metric for Image Captioning via Contrastive LearningCode1
Neural Fashion Image Captioning : Accounting for Data DiversityCode1
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
Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship—0
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual WordsCode1
A Self-Boosting Framework for Automated Radiographic Report Generation—0
Transitional Adaptation of Pretrained Models for Visual Storytelling—0
FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation—0
Semi-Autoregressive Transformer for Image CaptioningCode1
Predicting Visual Futures with Image Captioning and Pre-Trained Language Models—0
Understanding and Evaluating Racial Biases in Image CaptioningCode1
Data augmentation to improve robustness of image captioning solutions—0
Counterfactual Maximum Likelihood Estimation for Training Deep NetworksCode0
BERTGEN: Multi-task Generation through BERTCode1
E2E-VLP: End-to-End Vision-Language Pre-training Enhanced by Visual Learning—0
SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality AnalysisCode0
Learning to Select: A Fully Attentive Approach for Novel Object Captioning—0
How Vision Affects Language: Comparing Masked Self-Attention in Uni-Modal and Multi-Modal Transformer—0
Leveraging Partial Dependency Trees to Control Image Captions—0
On Randomized Classification Layers and Their Implications in Natural Language Generation—0
Validity-Based Sampling and Smoothing Methods for Multiple Reference Image Captioning—0
Longer Version for "Deep Context-Encoding Network for Retinal Image Captioning"—0
New Encoder Learning for Captioning Heavy Rain Images via Semantic Visual Feature Matching—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