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 201–250 of 1878 papers

TitleStatusHype
Learning to Generate Grounded Visual Captions without Localization SupervisionCode1
Latent Normalizing Flows for Many-to-Many Cross-Domain MappingsCode1
Analysis of diversity-accuracy tradeoff in image captioningCode1
DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only TrainingCode1
GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and TextCode1
Learning to Generate Grounded Visual Captions without Localization SupervisionCode1
CLIPScore: A Reference-free Evaluation Metric for Image CaptioningCode1
Linearly Mapping from Image to Text SpaceCode1
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrintsCode1
AVCap: Leveraging Audio-Visual Features as Text Tokens for CaptioningCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
CLIP-Diffusion-LM: Apply Diffusion Model on Image CaptioningCode1
DeltaNet:Conditional Medical Report Generation for COVID-19 DiagnosisCode1
CNN+CNN: Convolutional Decoders for Image CaptioningCode1
Can images help recognize entities? A study of the role of images for Multimodal NERCode1
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQACode1
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQACode1
Dense Relational Image Captioning via Multi-task Triple-Stream NetworksCode1
CoCa: Contrastive Captioners are Image-Text Foundation ModelsCode1
MAPL: Parameter-Efficient Adaptation of Unimodal Pre-Trained Models for Vision-Language Few-Shot PromptingCode1
IC3: Image Captioning by Committee ConsensusCode1
Bayesian Recurrent Neural NetworksCode1
Detecting Hate Speech in Multi-modal MemesCode1
Belief Revision based Caption Re-ranker with Visual Semantic InformationCode1
Differentially Private Representation Learning via Image CaptioningCode1
Diffusion Bridge: Leveraging Diffusion Model to Reduce the Modality Gap Between Text and Vision for Zero-Shot Image CaptioningCode1
GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image AnalysisCode1
Benchmarking Large Vision-Language Models via Directed Scene Graph for Comprehensive Image CaptioningCode1
A large annotated corpus for learning natural language inferenceCode1
BERTGEN: Multi-task Generation through BERTCode1
Gated Hierarchical Attention for Image CaptioningCode1
Mitigating Gender Bias in Captioning SystemsCode1
Disentangled Pre-training for Human-Object Interaction DetectionCode1
Distinctive Image Captioning: Leveraging Ground Truth Captions in CLIP Guided Reinforcement LearningCode1
Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image CaptioningCode1
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence ModelsCode1
ChatEarthNet: A Global-Scale Image-Text Dataset Empowering Vision-Language Geo-Foundation ModelsCode1
Beyond Generic: Enhancing Image Captioning with Real-World Knowledge using Vision-Language Pre-Training ModelCode1
Beyond Greedy Search: Tracking by Multi-Agent Reinforcement Learning-based Beam SearchCode1
Aesthetically Relevant Image CaptioningCode1
MultiCapCLIP: Auto-Encoding Prompts for Zero-Shot Multilingual Visual CaptioningCode1
Multi-Grained Vision Language Pre-Training: Aligning Texts with Visual ConceptsCode1
Instruction-guided Multi-Granularity Segmentation and Captioning with Large Multimodal ModelCode1
FuseCap: Leveraging Large Language Models for Enriched Fused Image CaptionsCode1
GeneAnnotator: A Semi-automatic Annotation Tool for Visual Scene GraphCode1
Bidimensional Leaderboards: Generate and Evaluate Language Hand in HandCode1
Dual-Level Collaborative Transformer for Image CaptioningCode1
EDSL: An Encoder-Decoder Architecture with Symbol-Level Features for Printed Mathematical Expression RecognitionCode1
Mutual Information Divergence: A Unified Metric for Multimodal Generative ModelsCode1
CgT-GAN: CLIP-guided Text GAN for Image CaptioningCode1
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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