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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 1351–1400 of 1878 papers

TitleStatusHype
Cross-Domain Image Captioning with Discriminative Finetuning—0
Crossing the Gap: Domain Generalization for Image Captioning—0
Cross-Lingual Image Caption Generation—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Cross-modal Coherence Modeling for Caption Generation—0
Cross-Modal Consistency in Multimodal Large Language Models—0
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage—0
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning—0
Cross Modification Attention Based Deliberation Model for Image Captioning—0
Cross-view Brain Decoding—0
CRUR: Coupled-Recurrent Unit for Unification, Conceptualization and Context Capture for Language Representation -- A Generalization of Bi Directional LSTM—0
Semantic and Expressive Variation in Image Captions Across Languages—0
CUNI System for the WMT17 Multimodal Translation Task—0
CUNI System for the WMT17 Multimodal Translation Task—0
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale—0
Cycle-Consistency Learning for Captioning and Grounding—0
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection—0
Data augmentation to improve robustness of image captioning solutions—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Dataset Augmentation by Mixing Visual Concepts—0
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism—0
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts—0
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning—0
Decoding Strategies for Neural Referring Expression Generation—0
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference—0
Decomposing Generation Networks with Structure Prediction for Recipe Generation—0
Deconfounded Image Captioning: A Causal Retrospect—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation—0
Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation—0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization—0
Deep Interactive Region Segmentation and Captioning—0
Deep Learning Approaches on Image Captioning: A Review—0
Deep Matching Autoencoders—0
Deep Network Guided Proof Search—0
Deep Reinforcement Learning-based Image Captioning with Embedding Reward—0
DeepSeek: Content Based Image Search & Retrieval—0
Defining Visually Descriptive Language—0
Déjà Image-Captions: A Corpus of Expressive Descriptions in Repetition—0
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding—0
DeltaNet: Conditional Medical Report Generation for COVID-19 Diagnosis—0
DENEB: A Hallucination-Robust Automatic Evaluation Metric for Image Captioning—0
Denoising Large-Scale Image Captioning from Alt-text Data using Content Selection Models—0
Dense Image Representation with Spatial Pyramid VLAD Coding of CNN for Locally Robust Captioning—0
Dependent Multi-Task Learning with Causal Intervention for Image Captioning—0
Describe Anything in Medical Images—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