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 1401–1450 of 1878 papers

TitleStatusHype
Reinforcing an Image Caption Generator Using Off-Line Human Feedback—0
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication—0
Can Neural Image Captioning be Controlled via Forced Attention?—0
Self-Adaptive Scaling for Learnable Residual Structure—0
English to Hindi Multi-modal Neural Machine Translation and Hindi Image Captioning—0
Sequence Modeling with Unconstrained Generation OrderCode0
On the Role of Scene Graphs in Image Captioning—0
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder—0
Can adversarial training learn image captioning ?Code0
Semantic Object Accuracy for Generative Text-to-Image SynthesisCode0
Hierarchical Prototype Learning for Zero-Shot Recognition—0
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries—0
Convolutional Prototype Learning for Zero-Shot Recognition—0
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style—0
Tell-the-difference: Fine-grained Visual Descriptor via a Discriminating Referee—0
Semantic-aware Image Deblurring—0
Text-to-Image Synthesis Based on Machine Generated Captions—0
Generating Diverse and Descriptive Image Captions Using Visual Paraphrases—0
Joint Optimization for Cooperative Image Captioning—0
Entangled Transformer for Image Captioning—0
Sketch Me if You Can: Towards Generating Detailed Descriptions of Object Shape by Grounding in Images and Drawings—0
Sparse Transformer: Concentrated Attention Through Explicit Selection—0
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators—0
ContCap: A scalable framework for continual image captioningCode0
Adaptively Aligned Image Captioning via Adaptive Attention TimeCode0
Large-scale representation learning from visually grounded untranscribed speech—0
Towards Explainable Neural-Symbolic Visual Reasoning—0
SANVis: Visual Analytics for Understanding Self-Attention Networks—0
VizSeq: A Visual Analysis Toolkit for Text Generation TasksCode0
Compositional Generalization in Image CaptioningCode0
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
Hierarchy Parsing for Image Captioning—0
Quality Estimation for Image Captions Based on Large-scale Human EvaluationsCode0
Look and Modify: Modification Networks for Image CaptioningCode0
MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover DistanceCode0
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image CaptioningCode0
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach—0
TIGEr: Text-to-Image Grounding for Image Caption EvaluationCode0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Reflective Decoding Network for Image Captioning—0
Aesthetic Image Captioning From Weakly-Labelled PhotographsCode0
Adversarial Representation Learning for Text-to-Image Matching—0
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings—0
Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning—0
Attention on Attention for Image CaptioningCode0
Language Features Matter: Effective Language Representations for Vision-Language Tasks—0
Leveraging Sentence Similarity in Natural Language Generation: Improving Beam Search using Range Voting—0
Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards—0
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point ProcessCode0
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning—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