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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 1701–1750 of 1878 papers

TitleStatusHype
Cold Fusion: Training Seq2Seq Models Together with Language Models—0
Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects—0
ConvNet Architecture Search for Spatiotemporal Feature LearningCode1
Fluency-Guided Cross-Lingual Image CaptioningCode0
Learning to Disambiguate by Asking Discriminative Questions—0
What is the Role of Recurrent Neural Networks (RNNs) in an Image Caption Generator?Code0
UdL at SemEval-2017 Task 1: Semantic Textual Similarity Estimation of English Sentence Pairs Using Regression Model over Pairwise FeaturesCode0
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity—0
Deep Interactive Region Segmentation and Captioning—0
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question AnsweringCode1
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts—0
Order-Free RNN with Visual Attention for Multi-Label Classification—0
CUNI System for the WMT17 Multimodal Translation Task—0
Where to Play: Retrieval of Video Segments using Natural-Language Queries—0
Learning Object Interactions and Descriptions for Semantic Image Segmentation—0
Neural Scene De-Rendering—0
Multimodal Machine Learning: Integrating Language, Vision and Speech—0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—0
Attention Strategies for Multi-Source Sequence-to-Sequence Learning—0
Automated Audio Captioning with Recurrent Neural Networks—0
Actor-Critic Sequence Training for Image Captioning—0
Paying More Attention to Saliency: Image Captioning with Saliency and Context Attention—0
One Model To Learn Them All—0
Image Captioning with Object Detection and Localization—0
Teaching Machines to Describe Images via Natural Language Feedback—0
Bidirectional Beam Search: Forward-Backward Inference in Neural Sequence Models for Fill-in-the-Blank Image Captioning—0
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML—0
Learning Hard Alignments with Variational Inference—0
CHAM: action recognition using convolutional hierarchical attention model—0
STAIR Captions: Constructing a Large-Scale Japanese Image Caption DatasetCode0
Show, Adapt and Tell: Adversarial Training of Cross-domain Image CaptionerCode0
Paying Attention to Descriptions Generated by Image Captioning ModelsCode1
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition—0
Attend to You: Personalized Image Captioning with Context Sequence Memory NetworksCode0
Neural Extractive Summarization with Side InformationCode0
Deep Reinforcement Learning-based Image Captioning with Embedding Reward—0
Bayesian Recurrent Neural NetworksCode1
The BreakingNews Dataset—0
Continuous multilinguality with language vectors—0
Speaking the Same Language: Matching Machine to Human Captions by Adversarial TrainingCode1
I2T2I: Learning Text to Image Synthesis with Textual Data Augmentation—0
Recurrent Models for Situation Recognition—0
Towards Diverse and Natural Image Descriptions via a Conditional GANCode0
Evolving Deep Neural NetworksCode1
MIML-FCN+: Multi-instance Multi-label Learning via Fully Convolutional Networks with Privileged Information—0
ViP-CNN: Visual Phrase Guided Convolutional Neural Network—0
MAT: A Multimodal Attentive Translator for Image Captioning—0
Deep Network Guided Proof Search—0
Context-aware Captions from Context-agnostic SupervisionCode0
Vision and Language Integration: Moving beyond Objects—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