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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 1051–1100 of 1878 papers

TitleStatusHype
New Ideas and Trends in Deep Multimodal Content Understanding: A Review—0
New Encoder Learning for Captioning Heavy Rain Images via Semantic Visual Feature Matching—0
NICE: CVPR 2023 Challenge on Zero-shot Image Captioning—0
NLIP: Noise-robust Language-Image Pre-training—0
NLPHut’s Participation at WAT2021—0
NNEval: Neural Network based Evaluation Metric for Image Captioning—0
No Detail Left Behind: Revisiting Self-Retrieval for Fine-Grained Image Captioning—0
Non-Autoregressive Image Captioning with Counterfactuals-Critical Multi-Agent Learning—0
Nonparametric Method for Data-driven Image Captioning—0
Normalized and Geometry-Aware Self-Attention Network for Image Captioning—0
NOVA: A Benchmark for Anomaly Localization and Clinical Reasoning in Brain MRI—0
O2NA: An Object-Oriented Non-Autoregressive Approach for Controllable Video Captioning—0
OBJ2TEXT: Generating Visually Descriptive Language from Object Layouts—0
Object Counts! Bringing Explicit Detections Back into Image Captioning—0
Object-oriented backdoor attack against image captioning—0
ODIANLP’s Participation in WAT2020—0
Off-Policy Self-Critical Training for Transformer in Visual Paragraph Generation—0
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts—0
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks—0
On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization—0
On Distinctive Image Captioning via Comparing and Reweighting—0
One Model To Learn Them All—0
On Hallucination and Predictive Uncertainty in Conditional Language Generation—0
On Human Intellect and Machine Failures: Troubleshooting Integrative Machine Learning Systems—0
On Randomized Classification Layers and Their Implications in Natural Language Generation—0
On Speculative Decoding for Multimodal Large Language Models—0
On the Effects of Video Grounding on Language Models—0
On the Performance of Multimodal Language Models—0
On the Robustness of Large Multimodal Models Against Image Adversarial Attacks—0
On the Role of Scene Graphs in Image Captioning—0
On Vision Features in Multimodal Machine Translation—0
OPCap:Object-aware Prompting Captioning—0
OpenDAS: Open-Vocabulary Domain Adaptation for 2D and 3D Segmentation—0
Open-Vocabulary Object Detection using Pseudo Caption Labels—0
OptiBox: Breaking the Limits of Proposals for Visual Grounding—0
Optimizing Vision-Language Interactions Through Decoder-Only Models—0
Order-Free RNN with Visual Attention for Multi-Label Classification—0
ORD: Object Relationship Discovery for Visual Dialogue Generation—0
OSPC: Detecting Harmful Memes with Large Language Model as a Catalyst—0
OSU Multimodal Machine Translation System Report—0
Overview of TREC 2024 Medical Video Question Answering (MedVidQA) Track—0
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images?—0
PaLI: A Jointly-Scaled Multilingual Language-Image Model—0
Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation—0
ParaCNN: Visual Paragraph Generation via Adversarial Twin Contextual CNNs—0
ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian—0
Partially-Supervised Image Captioning—0
Partially-Supervised Novel Object Captioning Leveraging Context from Paired Data—0
Partial Off-Policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning—0
Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception—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