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 1551–1600 of 1878 papers

TitleStatusHype
Automated Medical Report Generation for ECG Data: Bridging Medical Text and Signal Processing with Deep LearningCode0
Language-Driven Region Pointer Advancement for Controllable Image CaptioningCode0
Compositional Generalization in Image CaptioningCode0
Label-Attention Transformer with Geometrically Coherent Objects for Image CaptioningCode0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
Efficient Modeling of Future Context for Image CaptioningCode0
LLM as Dataset Analyst: Subpopulation Structure Discovery with Large Language ModelCode0
RONA: Pragmatically Diverse Image Captioning with Coherence RelationsCode0
LMCap: Few-shot Multilingual Image Captioning by Retrieval Augmented Language Model PromptingCode0
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image CaptioningCode0
RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question AnsweringCode0
COMIC: Towards A Compact Image Captioning Model with AttentionCode0
Efficient CNN-LSTM based Image Captioning using Neural Network CompressionCode0
Look and Modify: Modification Networks for Image CaptioningCode0
Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image RepresentationsCode0
Token-level and sequence-level loss smoothing for RNN language modelsCode0
Effectively Enhancing Vision Language Large Models by Prompt Augmentation and Caption UtilizationCode0
Lost in Space: Probing Fine-grained Spatial Understanding in Vision and Language ResamplersCode0
Topic-Guided Attention for Image CaptioningCode0
KALE: An Artwork Image Captioning System Augmented with Heterogeneous GraphCode0
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language ContextsCode0
Dual Graph Convolutional Networks with Transformer and Curriculum Learning for Image CaptioningCode0
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated ImagesCode0
Does the Performance of Text-to-Image Retrieval Models Generalize Beyond Captions-as-a-Query?Code0
Meshed-Memory Transformer for Image CaptioningCode0
Automated Image Captioning with CNNs and TransformersCode0
Journalistic Guidelines Aware News Image CaptioningCode0
JaSPICE: Automatic Evaluation Metric Using Predicate-Argument Structures for Image Captioning ModelsCode0
Machine-in-the-Loop Rewriting for Creative Image CaptioningCode0
Aligning Linguistic Words and Visual Semantic Units for Image CaptioningCode0
Auto-Encoding Scene Graphs for Image CaptioningCode0
Document Modeling with External Attention for Sentence ExtractionCode0
iPIC-XAI: Improving PIC-XAI for Enhanced Image Captioning ExplanationCode0
Document-Level Text Generation with Minimum Bayes Risk Decoding using Optimal TransportCode0
SCA-CNN: Spatial and Channel-wise Attention in Convolutional Networks for Image CaptioningCode0
Diverse Image Captioning with Grounded StyleCode0
iParaphrasing: Extracting Visually Grounded Paraphrases via an ImageCode0
Cold-Start Reinforcement Learning with Softmax Policy GradientCode0
Diverse and Styled Image Captioning Using SVD-Based Mixture of Recurrent ExpertsCode0
ZoDIAC: Zoneout Dropout Injection Attention CalculationCode0
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic GroundingCode0
InstructSeq: Unifying Vision Tasks with Instruction-conditioned Multi-modal Sequence GenerationCode0
A Unified Debiasing Approach for Vision-Language Models across Modalities and TasksCode0
mBLIP: Efficient Bootstrapping of Multilingual Vision-LLMsCode0
Improving Reinforcement Learning Based Image Captioning with Natural Language PriorCode0
Wasserstein Barycenter Model EnsemblingCode0
Towards Better Multi-modal Keyphrase Generation via Visual Entity Enhancement and Multi-granularity Image Noise FilteringCode0
Towards Diverse and Accurate Image Captions via Reinforcing Determinantal Point ProcessCode0
SCENIR: Visual Semantic Clarity through Unsupervised Scene Graph RetrievalCode0
Scheduled Sampling for Sequence Prediction with Recurrent Neural NetworksCode0
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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