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 351–400 of 1878 papers

TitleStatusHype
CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsCode2
Using Machine Translation to Augment Multilingual Classification—0
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language ModelCode0
A Toolchain for Comprehensive Audio/Video Analysis Using Deep Learning Based Multimodal Approach (A use case of riot or violent context detection)—0
Technical Report of NICE Challenge at CVPR 2024: Caption Re-ranking Evaluation Using Ensembled CLIP and Consensus ScoresCode0
Beyond Human Vision: The Role of Large Vision Language Models in Microscope Image Analysis—0
What Makes for Good Image Captions?—0
Compressed Image Captioning using CNN-based Encoder-Decoder Framework—0
Semi-supervised Text-based Person Search—0
Learning text-to-video retrieval from image captioning—0
OmniSearchSage: Multi-Task Multi-Entity Embeddings for Pinterest SearchCode2
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language ResamplersCode0
The Solution for the CVPR2024 NICE Image Captioning Challenge—0
MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering—0
LaDiC: Are Diffusion Models Really Inferior to Autoregressive Counterparts for Image-to-Text Generation?Code1
ANCHOR: LLM-driven News Subject Conditioning for Text-to-Image SynthesisCode0
Bridging Vision and Language Spaces with Assignment PredictionCode0
On Speculative Decoding for Multimodal Large Language Models—0
FLoRA: Enhancing Vision-Language Models with Parameter-Efficient Federated LearningCode0
Enhancing Visual Question Answering through Question-Driven Image Captions as PromptsCode1
View Selection for 3D Captioning via Diffusion RankingCode3
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation—0
CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept MatchingCode2
Would Deep Generative Models Amplify Bias in Future Models?—0
Jump Self-attention: Capturing High-order Statistics in Transformers—0
Harnessing the Power of Large Vision Language Models for Synthetic Image DetectionCode1
Disentangled Pre-training for Human-Object Interaction DetectionCode1
Bi-LORA: A Vision-Language Approach for Synthetic Image DetectionCode1
VLRM: Vision-Language Models act as Reward Models for Image Captioning—0
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language ReasoningCode0
LLaMA-Excitor: General Instruction Tuning via Indirect Feature Interaction—0
VHM: Versatile and Honest Vision Language Model for Remote Sensing Image AnalysisCode2
A Review of Multi-Modal Large Language and Vision Models—0
LocCa: Visual Pretraining with Location-aware CaptionersCode0
Text Data-Centric Image Captioning with Interactive Prompts—0
Semantic Map-based Generation of Navigation InstructionsCode0
A Survey on Large Language Models from Concept to Implementation—0
Can Language Beat Numerical Regression? Language-Based Multimodal Trajectory PredictionCode2
Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study—0
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching—0
Visual Hallucination: Definition, Quantification, and Prescriptive Remediations—0
The Solution for the ICCV 2023 1st Scientific Figure Captioning Challenge—0
Image Captioning in news report scenario—0
Cognitive resilience: Unraveling the proficiency of image-captioning models to interpret masked visual contentCode0
A Multimodal Approach for Cross-Domain Image Retrieval—0
MyVLM: Personalizing VLMs for User-Specific Queries—0
Inserting Faces inside Captions: Image Captioning with Attention Guided Merging—0
Improved Baselines for Data-efficient Perceptual Augmentation of LLMs—0
VL-ICL Bench: The Devil in the Details of Multimodal In-Context LearningCode2
Entity6K: A Large Open-Domain Evaluation Dataset for Real-World Entity Recognition—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