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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 301–350 of 1878 papers

TitleStatusHype
Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image SegmentationCode1
AVCap: Leveraging Audio-Visual Features as Text Tokens for CaptioningCode1
Leveraging image captions for selective whole slide image annotationCode0
Resampled Datasets Are Not Enough: Mitigating Societal Bias Beyond Single Attributes—0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
Certainly Uncertain: A Benchmark and Metric for Multimodal Epistemic and Aleatoric Awareness—0
Explainable Image Captioning using CNN- CNN architecture and Hierarchical Attention—0
Assistive Image Annotation Systems with Deep Learning and Natural Language Capabilities: A Review—0
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language—0
MM-Instruct: Generated Visual Instructions for Large Multimodal Model AlignmentCode1
Towards Temporal Change Explanations from Bi-Temporal Satellite Images—0
RAVEN: Multitask Retrieval Augmented Vision-Language Learning—0
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Data—0
Enhancing Scientific Figure Captioning Through Cross-modal Learning—0
Does Object Grounding Really Reduce Hallucination of Large Vision-Language Models?—0
Reinforcing Pre-trained Models Using Counterfactual Images—0
VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image UnderstandingCode2
Do More Details Always Introduce More Hallucinations in LVLM-based Image Captioning?—0
MFC-Bench: Benchmarking Multimodal Fact-Checking with Large Vision-Language ModelsCode1
LLARVA: Vision-Action Instruction Tuning Enhances Robot Learning—0
From Pixels to Prose: A Large Dataset of Dense Image Captions—0
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst—0
ImageNet3D: Towards General-Purpose Object-Level 3D UnderstandingCode1
Towards Vision-Language Geo-Foundation Model: A SurveyCode2
Yo'LLaVA: Your Personalized Language and Vision AssistantCode2
Translating speech with just imagesCode0
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal ModelCode1
From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksCode2
Understanding Retrieval Robustness for Retrieval-Augmented Image CaptioningCode0
Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language ModelsCode2
Image Captioning via Dynamic Path CustomizationCode0
DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration—0
Image captioning in different languages—0
RTGen: Generating Region-Text Pairs for Open-Vocabulary Object DetectionCode1
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation—0
MetaToken: Detecting Hallucination in Image Descriptions by Meta Classification—0
Multi-Modal Generative Embedding Model—0
Benchmarking and Improving Detail Image CaptionCode2
Text-only Synthesis for Image Captioning—0
RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V TrustworthinessCode11
How Culturally Aware are Vision-Language Models?—0
LG-VQ: Language-Guided Codebook Learning—0
A Survey on Vision-Language-Action Models for Embodied AICode4
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models—0
Class-Conditional self-reward mechanism for improved Text-to-Image modelsCode0
Towards Retrieval-Augmented Architectures for Image Captioning—0
UniRAG: Universal Retrieval Augmentation for Large Vision Language ModelsCode1
Chameleon: Mixed-Modal Early-Fusion Foundation ModelsCode7
Contextual Emotion Recognition using Large Vision Language Models—0
Boostlet.js: Image processing plugins for the web via JavaScript injectionCode1
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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