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 551–600 of 1878 papers

TitleStatusHype
An Attempt towards Interpretable Audio-Visual Video Captioning—0
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution—0
Automatic Myanmar Image Captioning using CNN and LSTM-Based Language Model—0
Cooperative image captioning—0
Automated Report Generation for Lung Cytological Images Using a CNN Vision Classifier and Multiple-Transformer Text Decoders: Preliminary Study—0
Convolutional Prototype Learning for Zero-Shot Recognition—0
Flowing from Words to Pixels: A Noise-Free Framework for Cross-Modality Evolution—0
Analysis of Convolutional Decoder for Image Caption Generation—0
Controlled Caption Generation for Images Through Adversarial Attacks—0
A Deep Neural Framework for Image Caption Generation Using GRU-Based Attention Mechanism—0
Controllable Image Captioning via Prompting—0
Controllable Image Captioning—0
Automated Image Captioning for Rapid Prototyping and Resource Constrained Environments—0
Control Image Captioning Spatially and Temporally—0
Automated Audio Captioning with Recurrent Neural Networks—0
Fluent and Accurate Image Captioning with a Self-Trained Reward Model—0
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations—0
A Multimodal Memes Classification: A Survey and Open Research Issues—0
Contrastive Semantic Similarity Learning for Image Captioning Evaluation with Intrinsic Auto-encoder—0
Contrastive Learning for Image Captioning—0
Auto Cherry-Picker: Learning from High-quality Generative Data Driven by Language—0
A Deep Decoder Structure Based on WordEmbedding Regression for An Encoder-Decoder Based Model for Image Captioning—0
AutoCaption: Image Captioning with Neural Architecture Search—0
Continuous multilinguality with language vectors—0
A Multimodal Approach for Cross-Domain Image Retrieval—0
Abstractive Document Summarization with a Graph-Based Attentional Neural Model—0
Fine-Grained Video Captioning through Scene Graph Consolidation—0
Contextual Memory Trees—0
Contextualized Keyword Representations for Multi-modal Retinal Image Captioning—0
AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark—0
Contextual Emotion Recognition using Large Vision Language Models—0
Contextual Emotion Estimation from Image Captions—0
A Unified Sequence Interface for Vision Tasks—0
American == White in Multimodal Language-and-Image AI—0
Context-Independent OCR with Multimodal LLMs: Effects of Image Resolution and Visual Complexity—0
Augmenting Image Question Answering Dataset by Exploiting Image Captions—0
A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions—0
Context-Aware Group Captioning via Self-Attention and Contrastive Features—0
A Medical Semantic-Assisted Transformer for Radiographic Report Generation—0
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity—0
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing—0
Focused Evaluation for Image Description with Binary Forced-Choice Tasks—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction—0
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries—0
Feature Fusion Effects of Tensor Product Representation on (De)Compositional Network for Caption Generation for Images—0
Consistent Multiple Sequence Decoding—0
Consistency Model is an Effective Posterior Sample Approximation for Diffusion Inverse Solvers—0
AttS2S-VC: Sequence-to-Sequence Voice Conversion with Attention and Context Preservation Mechanisms—0
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired—0
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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