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 1301–1350 of 1878 papers

TitleStatusHype
An Efficient Technique for Image Captioning using Deep Neural Network—0
Structure-Aware Generation Network for Recipe Generation from ImagesCode0
Hierarchical memory decoder for visual narrating—0
A Survey of Evaluation Metrics Used for NLG Systems—0
Attr2Style: A Transfer Learning Approach for Inferring Fashion Styles via Apparel Attributes—0
Linguistically-aware Attention for Reducing the Semantic-Gap in Vision-Language Tasks—0
Assisting Scene Graph Generation with Self-Supervision—0
Textual Description for Mathematical EquationsCode0
Learning Visual Representations with Caption Annotations—0
Recurrent Image Annotation With Explicit Inter-Label DependenciesCode0
Evaluating Automatically Generated Phoneme Captions for Images—0
Decomposing Generation Networks with Structure Prediction for Recipe Generation—0
Integrating Image Captioning with Rule-based Entity Masking—0
Fine-Grained Image Captioning with Global-Local Discriminative ObjectiveCode0
Improving Diversity and Reducing Redundancy in Paragraph Captions—0
Compare and Reweight: Distinctive Image Captioning Using Similar Images Sets—0
Image Captioning with Compositional Neural Module Networks—0
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network—0
Evaluating and interpreting caption prediction for histopathology imagesCode0
Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent ExpertsCode0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
Cross-modal Coherence Modeling for Caption Generation—0
Improving Image Captioning with Better Use of Caption—0
Improving Image Captioning Evaluation by Considering Inter References Variance—0
Understanding Advertisements with BERT—0
Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information—0
AI Sensing for Robotics using Deep Learning based Visual and Language Modeling—0
Recurrent Relational Memory Network for Unsupervised Image Captioning—0
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation—0
Hyperparameter Analysis for Image Captioning—0
SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning—0
ORD: Object Relationship Discovery for Visual Dialogue Generation—0
Multi-Image Summarization: Textual Summary from a Set of Cohesive Images—0
MAGNet: Multi-Region Attention-Assisted Grounding of Natural Language Queries at Phrase Level—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
Informativity in Image Captions vs. Referring Expressions—0
TIME: Text and Image Mutual-Translation Adversarial Networks—0
Rethinking and Improving Natural Language Generation with Layer-Wise Multi-View Decoding—0
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning—0
Clue: Cross-modal Coherence Modeling for Caption Generation—0
A Girl Has A Name: Detecting Authorship ObfuscationCode0
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking—0
Automatic Myanmar Image Captioning using CNN and LSTM-Based Language Model—0
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Pragmatic Issue-Sensitive Image CaptioningCode0
A Novel Attention-based Aggregation Function to Combine Vision and Language—0
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
Context-Aware Group Captioning via Self-Attention and Contrastive Features—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