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 801–850 of 1878 papers

TitleStatusHype
Deliberation Networks: Sequence Generation Beyond One-Pass Decoding—0
Déjà Image-Captions: A Corpus of Expressive Descriptions in Repetition—0
Beyond Holistic Object Recognition: Enriching Image Understanding with Part States—0
An Image captioning algorithm based on the Hybrid Deep Learning Technique (CNN+GRU)—0
A Comparative Study of Pre-trained CNNs and GRU-Based Attention for Image Caption Generation—0
Defining Visually Descriptive Language—0
DeepSeek: Content Based Image Search & Retrieval—0
Deep Reinforcement Learning-based Image Captioning with Embedding Reward—0
Deep Network Guided Proof Search—0
Beyond Caption To Narrative: Video Captioning With Multiple Sentences—0
Deep Matching Autoencoders—0
A Neural-Symbolic Approach to Design of CAPTCHA—0
AeroLite: Tag-Guided Lightweight Generation of Aerial Image Captions—0
Deep Learning Approaches on Image Captioning: A Review—0
Deep Interactive Region Segmentation and Captioning—0
Better Understanding Hierarchical Visual Relationship for Image Caption—0
DeepFN: Towards Generalizable Facial Action Unit Recognition with Deep Face Normalization—0
Better Reasoning with Less Data: Enhancing VLMs Through Unified Modality Scoring—0
A Neural Compositional Paradigm for Image Captioning—0
Deep Bayesian Active Learning for Multiple Correct Outputs—0
Better Captioning with Sequence-Level Exploration—0
ADVISE: Symbolism and External Knowledge for Decoding Advertisements—0
A Chain-of-Thought Subspace Meta-Learning for Few-shot Image Captioning with Large Vision and Language Models—0
Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation—0
Decoupled Spatial Neural Attention for Weakly Supervised Semantic Segmentation—0
Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering—0
Deconfounded Image Captioning: A Causal Retrospect—0
Decomposing Generation Networks with Structure Prediction for Recipe Generation—0
Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference—0
Decoding Strategies for Neural Referring Expression Generation—0
A Neural Approach to Pun Generation—0
Adversarial Semantic Alignment for Improved Image Captions—0
Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic Reasoning—0
Bench-Marking And Improving Arabic Automatic Image Captioning Through The Use Of Multi-Task Learning Paradigm—0
Decoding Diffusion: A Scalable Framework for Unsupervised Analysis of Latent Space Biases and Representations Using Natural Language Prompts—0
DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism—0
@Bench: Benchmarking Vision-Language Models for Human-centered Assistive Technology—0
An Ensemble Model with Attention Based Mechanism for Image Captioning—0
Debiasing Classifiers by Amplifying Bias with Latent Diffusion and Large Language Models—0
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Dataset Augmentation by Mixing Visual Concepts—0
Beam-Guided Knowledge Replay for Knowledge-Rich Image Captioning using Vision-Language Model—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Adversarial Representation Learning for Text-to-Image Matching—0
One Framework to Rule Them All: Unifying Multimodal Tasks with LLM Neural-Tuning—0
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators—0
Data-dependent Gaussian Prior Objective for Language Generation—0
Data augmentation to improve robustness of image captioning solutions—0
DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection—0
Cycle-Consistency Learning for Captioning and Grounding—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