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 1801–1850 of 1878 papers

TitleStatusHype
SemEval-2016 Task 2: Interpretable Semantic Textual Similarity—0
FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity—0
Incorporating Side Information into Recurrent Neural Network Language Models—0
Attention Correctness in Neural Image Captioning—0
Does Multimodality Help Human and Machine for Translation and Image Captioning?—0
End-to-End Instance Segmentation with Recurrent AttentionCode0
Review Networks for Caption Generation—0
Beyond Caption To Narrative: Video Captioning With Multiple Sentences—0
Improving Image Captioning by Concept-based Sentence Reranking—0
1 Million Captioned Dutch Newspaper Images—0
Annotation Order Matters: Recurrent Image Annotator for Arbitrary Length Image TaggingCode0
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention—0
TGIF: A New Dataset and Benchmark on Animated GIF DescriptionCode0
Image Captioning with Deep Bidirectional LSTMsCode0
Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning—0
Rich Image Captioning in the Wild—0
Generating Natural Questions About an ImageCode0
Image Captioning with Semantic Attention—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Event Specific Multimodal Pattern Mining with Image-Caption Pairs—0
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels—0
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction—0
Video captioning with recurrent networks based on frame- and video-level features and visual content classificationCode1
DenseCap: Fully Convolutional Localization Networks for Dense CaptioningCode0
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets—0
Order-Embeddings of Images and LanguageCode1
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question AnsweringCode0
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training DataCode0
How (not) to Train your Generative Model: Scheduled Sampling, Likelihood, Adversary?Code1
Oracle performance for visual captioningCode0
Natural Language Object RetrievalCode0
Generation and Comprehension of Unambiguous Object DescriptionsCode0
Multilingual Image Description with Neural Sequence ModelsCode0
SentiCap: Generating Image Descriptions with Sentiments—0
Defining Visually Descriptive Language—0
Semantic Tuples for Evaluation of Image to Sentence Generation—0
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions—0
A large annotated corpus for learning natural language inferenceCode1
Image Representations and New Domains in Neural Image Captioning—0
A Distributed Representation Based Query Expansion Approach for Image Captioning—0
Aligning where to see and what to tell: image caption with region-based attention and scene factorizationCode0
Technical Report: Image Captioning with Semantically Similar Images—0
Scheduled Sampling for Sequence Prediction with Recurrent Neural NetworksCode0
Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in VideoCode0
The Long-Short Story of Movie Description—0
What value do explicit high level concepts have in vision to language problems?Code0
Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words—0
AZMAT: Sentence Similarity Using Associative Matrices—0
Sequence-to-Sequence Neural Net Models for Grapheme-to-Phoneme Conversion—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