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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 851–900 of 1878 papers

TitleStatusHype
ImageCaptioner^2: Image Captioner for Image Captioning Bias Amplification Assessment—0
Image Captioners Are Scalable Vision Learners Too—0
Image Captioners Sometimes Tell More Than Images They See—0
Image Caption Generation for Low-Resource Assamese Language—0
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning—0
Image Caption Generation Framework for Assamese News using Attention Mechanism—0
Cross-modal Coherence Modeling for Caption Generation—0
Image Captioning and Classification of Dangerous Situations—0
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge—0
Cross-Modal Consistency in Multimodal Large Language Models—0
Image Captioning as Neural Machine Translation Task in SOCKEYE—0
Image Captioning at Will: A Versatile Scheme for Effectively Injecting Sentiments into Image Descriptions—0
Explainable Image Captioning using CNN- CNN architecture and Hierarchical Attention—0
Assessing Image Quality Issues for Real-World Problems—0
Image Captioning based on Deep Reinforcement Learning—0
Image Captioning based on Feature Refinement and Reflective Decoding—0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
Image captioning for Brazilian Portuguese using GRIT model—0
CRUR: Coupled-Recurrent Unit for Unification, Conceptualization and Context Capture for Language Representation -- A Generalization of Bi Directional LSTM—0
Image captioning in different languages—0
Intention Oriented Image Captions with Guiding Objects—0
Interpretable Visual Question Answering Referring to Outside Knowledge—0
Keep it Consistent: Topic-Aware Storytelling from an Image Stream via Iterative Multi-agent Communication—0
Learning Compact Recurrent Neural Networks with Block-Term Tensor Decomposition—0
CUNI System for the WMT17 Multimodal Translation Task—0
Image Captioning using Deep Stacked LSTMs, Contextual Word Embeddings and Data Augmentation—0
Image Captioning using Facial Expression and Attention—0
Image Captioning using Multiple Transformers for Self-Attention Mechanism—0
CHAM: action recognition using convolutional hierarchical attention model—0
Advancing Medical Imaging with Language Models: A Journey from N-grams to ChatGPT—0
Benchmarking Zero-Shot Recognition with Vision-Language Models: Challenges on Granularity and Specificity—0
Actor-Critic Sequence Training for Image Captioning—0
Image Captioning with Context-Aware Auxiliary Guidance—0
Cycle-Consistency Learning for Captioning and Grounding—0
Image Captioning with Integrated Bottom-Up and Multi-level Residual Top-Down Attention for Game Scene Understanding—0
Image Captioning with Object Detection and Localization—0
Input Combination Strategies for Multi-Source Transformer Decoder—0
Examining the Effects of Language-and-Vision Data Augmentation for Generation of Descriptions of Human Faces—0
Challenges in Region-Specific Image Captioning: A Deep Learning Approach—0
Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach—0
Informative Scene Graph Generation via Debiasing—0
Image captioning with weakly-supervised attention penalty—0
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks—0
Image Generation from Image Captioning -- Invertible Approach—0
Informativity in Image Captions vs. Referring Expressions—0
Inserting Faces inside Captions: Image Captioning with Attention Guided Merging—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit—0
EVLM: An Efficient Vision-Language Model for Visual Understanding—0
Every picture tells a story: Image-grounded controllable stylistic story generation—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