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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 501–550 of 1878 papers

TitleStatusHype
Designing a Robust Radiology Report Generation System—0
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection—0
Cycle-Consistency Learning for Captioning and Grounding—0
DEVICE: DEpth and VIsual ConcEpts Aware Transformer for TextCaps—0
A Novel Evaluation Framework for Image2Text Generation—0
Dialog Generation Using Multi-Turn Reasoning Neural Networks—0
Dietary Assessment with Multimodal ChatGPT: A Systematic Analysis—0
Cap2Aug: Caption guided Image to Image data Augmentation—0
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale—0
Differentiable Expected BLEU for Text Generation—0
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT—0
Exploring Explicit and Implicit Visual Relationships for Image Captioning—0
Exploring Overall Contextual Information for Image Captioning in Human-Like Cognitive Style—0
CUNI System for the WMT17 Multimodal Translation Task—0
CUNI System for the WMT17 Multimodal Translation Task—0
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs—0
Semantic and Expressive Variation in Image Captions Across Languages—0
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation—0
CRUR: Coupled-Recurrent Unit for Unification, Conceptualization and Context Capture for Language Representation -- A Generalization of Bi Directional LSTM—0
Cross-view Brain Decoding—0
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing—0
Cross Modification Attention Based Deliberation Model for Image Captioning—0
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning—0
Backdooring Vision-Language Models with Out-Of-Distribution Data—0
Exploring Semantic Relationships for Unpaired Image Captioning—0
Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage—0
Cross-Modal Consistency in Multimodal Large Language Models—0
AZMAT: Sentence Similarity Using Associative Matrices—0
Cross-modal Coherence Modeling for Caption Generation—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
A Weighted Multi-Criteria Decision Making Approach for Image Captioning—0
An Efficient Technique for Image Captioning using Deep Neural Network—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Cross-Lingual Image Caption Generation—0
A Visually-Grounded Parallel Corpus with Phrase-to-Region Linking—0
Crossing the Gap: Domain Generalization for Image Captioning—0
A vision-grounded dataset for predicting typical locations for verbs—0
A-CAP: Anticipation Captioning with Commonsense Knowledge—0
Exploring Causes and Mitigation of Hallucinations in Large Vision Language Models—0
Cross-Domain Image Captioning with Discriminative Finetuning—0
CrossCheckGPT: Universal Hallucination Ranking for Multimodal Foundation Models—0
Cross2StrA: Unpaired Cross-lingual Image Captioning with Cross-lingual Cross-modal Structure-pivoted Alignment—0
A Distributed Representation Based Query Expansion Approach for Image Captioning—0
CropCap: Embedding Visual Cross-Partition Dependency for Image Captioning—0
Auto-Parsing Network for Image Captioning and Visual Question Answering—0
CPTR: Full Transformer Network for Image Captioning—0
A natural language processing-based approach: mapping human perception by understanding deep semantic features in street view images—0
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI—0
Exploring Spatial Language Grounding Through Referring Expressions—0
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment—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