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 1151–1200 of 1878 papers

TitleStatusHype
Retrieval, Analogy, and Composition: A framework for Compositional Generalization in Image Captioning—0
Retrieval-Augmented Multimodal Language Modeling—0
Retrieval-Augmented Transformer for Image Captioning—0
Reverse Prompt: Cracking the Recipe Inside Text-to-Image Generation—0
Review Networks for Caption Generation—0
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning—0
ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting—0
Revisiting Bayes by Backprop—0
Rich Image Captioning in the Wild—0
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation—0
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
Robust Image Captioning—0
RSDiff: Remote Sensing Image Generation from Text Using Diffusion Model—0
RS-MoE: Mixture of Experts for Remote Sensing Image Captioning and Visual Question Answering—0
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
Contextually Plausible and Diverse 3D Human Motion Prediction—0
SANVis: Visual Analytics for Understanding Self-Attention Networks—0
Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping—0
Scalable and Accurate Self-supervised Multimodal Representation Learning without Aligned Video and Text Data—0
Scaling Up Vision-Language Pre-training for Image Captioning—0
Scan, Attend and Read: End-to-End Handwritten Paragraph Recognition with MDLSTM Attention—0
Scene-based Factored Attention for Image Captioning—0
Scene Graph Generation for Better Image Captioning?—0
Scene Graph Generation with Geometric Context—0
A Comprehensive Survey of Scene Graphs: Generation and Application—0
SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling—0
SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning—0
Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models—0
Seeing Syntax: Uncovering Syntactic Learning Limitations in Vision-Language Models—0
Seeing through the Human Reporting Bias: Visual Classifiers from Noisy Human-Centric Labels—0
Seeing with Humans: Gaze-Assisted Neural Image Captioning—0
See Your Heart: Psychological states Interpretation through Visual Creations—0
Self-Adaptive Scaling for Learnable Residual Structure—0
Self-Annotated Training for Controllable Image Captioning—0
Self-critical n-step Training for Image Captioning—0
Self-Guiding Multimodal LSTM - when we do not have a perfect training dataset for image captioning—0
Semantically Invariant Text-to-Image Generation—0
Semantic and Expressive Variations in Image Captions Across Languages—0
Semantic-aware Image Deblurring—0
Semantic Composition in Visually Grounded Language Models—0
Semantic Distillation Guided Salient Object Detection—0
Semantic Exploration from Language Abstractions and Pretrained Representations—0
Semantic Regularisation for Recurrent Image Annotation—0
Semantic-Spatial Feature Fusion with Dynamic Graph Refinement for Remote Sensing Image Captioning—0
Semantic Tuples for Evaluation of Image to Sentence Generation—0
SemEval-2016 Task 2: Interpretable Semantic Textual Similarity—0
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data—0
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching—0
Self-Supervised Image Captioning with CLIP—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