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 1101–1150 of 1878 papers

TitleStatusHype
Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract)—0
Would Deep Generative Models Amplify Bias in Future Models?—0
WuDaoMM: A large-scale Multi-Modal Dataset for Pre-training models—0
XGPT: Cross-modal Generative Pre-Training for Image Captioning—0
Zero-Resource Neural Machine Translation with Multi-Agent Communication Game—0
Zero-Shot, But at What Cost? Unveiling the Hidden Overhead of MILS's LLM-CLIP Framework for Image Captioning—0
Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment—0
Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning—0
0/1 Deep Neural Networks via Block Coordinate Descent—0
Zoomer: Adaptive Image Focus Optimization for Black-box MLLM—0
Generating Question Relevant Captions to Aid Visual Question Answering—0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain—0
Masked Non-Autoregressive Image Captioning—0
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators—0
1 Million Captioned Dutch Newspaper Images—0
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
The Phantom Menace: Unmasking Privacy Leakages in Vision-Language Models—0
A Novel Evaluation Framework for Image2Text Generation—0
Dataset Scale and Societal Consistency Mediate Facial Impression Bias in Vision-Language AI—0
One Framework to Rule Them All: Unifying Multimodal Tasks with LLM Neural-Tuning—0
AC-Lite : A Lightweight Image Captioning Model for Low-Resource Assamese Language—0
Cross-Image Contrastive Decoding: Precise, Lossless Suppression of Language Priors in Large Vision-Language Models—0
3D Spatial Understanding in MLLMs: Disambiguation and Evaluation—0
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model—0
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning—0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—0
A-CAP: Anticipation Captioning with Commonsense Knowledge—0
A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models—0
A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation—0
A Comprehensive Analysis of Real-World Image Captioning and Scene Identification—0
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes—0
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
Active Data Curation Effectively Distills Large-Scale Multimodal Models—0
Actor-Critic Sequence Training for Image Captioning—0
AdaDARE-gamma: Balancing Stability and Plasticity in Multi-modal LLMs through Efficient Adaptation—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
A Dataset and Benchmarks for Multimedia Social Analysis—0
A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions—0
A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning—0
A Deep Neural Framework for Image Caption Generation Using GRU-Based Attention Mechanism—0
A Distributed Representation Based Query Expansion Approach for Image Captioning—0
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT—0
Adversarial Representation Learning for Text-to-Image Matching—0
Adversarial Semantic Alignment for Improved Image Captions—0
ADVISE: Symbolism and External Knowledge for Decoding Advertisements—0
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions—0
Aesthetic Attributes Assessment of Images with AMANv2 and DPC-CaptionsV2—0
Aesthetic Critiques Generation for Photos—0
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision—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