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 1151–1200 of 1878 papers

TitleStatusHype
A Framework and Dataset for Abstract Art Generation via CalligraphyGAN—0
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP—0
A Grounded Memory System For Smart Personal Assistants—0
AIC-AB NET: A Neural Network for Image Captioning with Spatial Attention and Text Attributes—0
AI Flow at the Network Edge—0
AI Sensing for Robotics using Deep Learning based Visual and Language Modeling—0
aiTPR: Attribute Interaction-Tensor Product Representation for Image Caption—0
Auto-ACD: A Large-scale Dataset for Audio-Language Representation Learning—0
Aligning Attention Distribution to Information Flow for Hallucination Mitigation in Large Vision-Language Models—0
Aligning Large Multimodal Models with Factually Augmented RLHF—0
Aligning MAGMA by Few-Shot Learning and Finetuning—0
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation—0
Alleviating Noisy Data in Image Captioning with Cooperative Distillation—0
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network—0
All You May Need for VQA are Image Captions—0
Altogether: Image Captioning via Re-aligning Alt-text—0
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction—0
A Medical Semantic-Assisted Transformer for Radiographic Report Generation—0
American == White in Multimodal Language-and-Image AI—0
A Multimodal Approach for Cross-Domain Image Retrieval—0
A Multimodal Memes Classification: A Survey and Open Research Issues—0
Analysis of Convolutional Decoder for Image Caption Generation—0
An Attempt towards Interpretable Audio-Visual Video Captioning—0
A natural language processing-based approach: mapping human perception by understanding deep semantic features in street view images—0
An Efficient Technique for Image Captioning using Deep Neural Network—0
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation—0
An encoder-decoder based framework for hindi image caption generation—0
An Enhanced Object Detection Model for Scene Graph Generation—0
An Ensemble Model with Attention Based Mechanism for Image Captioning—0
A Neural Approach to Pun Generation—0
A Neural Compositional Paradigm for Image Captioning—0
A Neural-Symbolic Approach to Design of CAPTCHA—0
An Image captioning algorithm based on the Hybrid Deep Learning Technique (CNN+GRU)—0
An In-depth Walkthrough on Evolution of Neural Machine Translation—0
An Integrated Approach for Video Captioning and Applications—0
An Interpretable Model for Scene Graph Generation—0
Annotating Modality Expressions and Event Factuality for a Japanese Chess Commentary Corpus—0
Annotation of Online Shopping Images without Labeled Training Examples—0
An Open-Source Software Toolkit & Benchmark Suite for the Evaluation and Adaptation of Multimodal Action Models—0
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning—0
A Novel Attention-based Aggregation Function to Combine Vision and Language—0
A Novel Lightweight Transformer with Edge-Aware Fusion for Remote Sensing Image Captioning—0
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering—0
AnyAttack: Towards Large-scale Self-supervised Adversarial Attacks on Vision-language Models—0
A Picture is Worth a Thousand Words: Principled Recaptioning Improves Image Generation—0
Approximate Distribution Matching for Sequence-to-Sequence Learning—0
Approximate FPGA-based LSTMs under Computation Time Constraints—0
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks—0
Areas of Attention for Image Captioning—0
Are Large Language Models Good Data Preprocessors?—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