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 651–700 of 1878 papers

TitleStatusHype
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation—0
Fine-tuning CLIP Text Encoders with Two-step Paraphrasing—0
A TextGCN-Based Decoding Approach for Improving Remote Sensing Image Captioning—0
Guide Me: Interacting with Deep Networks—0
Guiding Attention using Partial-Order Relationships for Image Captioning—0
COCO is "ALL'' You Need for Visual Instruction Fine-tuning—0
Asynchronous Evolution of Deep Neural Network Architectures—0
GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints—0
Adaptive Fine-Grained Predicates Learning for Scene Graph Generation—0
FE-LWS: Refined Image-Text Representations via Decoder Stacking and Fused Encodings for Remote Sensing Image Captioning—0
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention—0
Grow and Prune Compact, Fast, and Accurate LSTMs—0
Guiding Image Captioning Models Toward More Specific Captions—0
Feature Fusion Effects of Tensor Product Representation on (De)Compositional Network for Caption Generation for Images—0
FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity—0
3M: Multi-style image caption generation using Multi-modality features under Multi-UPDOWN model—0
Fast Image Caption Generation with Position Alignment—0
A Survey on Large Language Models from Concept to Implementation—0
AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning—0
Grounding Semantic Roles in Images—0
Fairness in AI Systems: Mitigating gender bias from language-vision models—0
A survey on knowledge-enhanced multimodal learning—0
FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation—0
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning—0
``Factual'' or ``Emotional'': Stylized Image Captioning with Adaptive Learning and Attention—0
"Factual" or "Emotional": Stylized Image Captioning with Adaptive Learning and Attention—0
CLIP-SCGI: Synthesized Caption-Guided Inversion for Person Re-Identification—0
Aligning MAGMA by Few-Shot Learning and Finetuning—0
Clue: Cross-modal Coherence Modeling for Caption Generation—0
Fast, Diverse and Accurate Image Captioning Guided By Part-of-Speech—0
Group-based Distinctive Image Captioning with Memory Attention—0
Fast Sequence Generation with Multi-Agent Reinforcement Learning—0
A Survey of Vision-Language Pre-training from the Lens of Multimodal Machine Translation—0
Feature Difference Makes Sense: A medical image captioning model exploiting feature difference and tag information—0
FaceGemma: Enhancing Image Captioning with Facial Attributes for Portrait Images—0
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired—0
Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021) -- Team: MMCUniAugsburg—0
Few-Shot VQA with Frozen LLMs: A Tale of Two Approaches—0
Green Runner: A tool for efficient model selection from model repositories—0
Figure Captioning with Reasoning and Sequence-Level Training—0
Aligning Large Multimodal Models with Factually Augmented RLHF—0
Finding-Aware Anatomical Tokens for Chest X-Ray Automated Reporting—0
FINECAPTION: Compositional Image Captioning Focusing on Wherever You Want at Any Granularity—0
Exposing and Correcting the Gender Bias in Image Captioning Datasets and Models—0
COCONut-PanCap: Joint Panoptic Segmentation and Grounded Captions for Fine-Grained Understanding and Generation—0
Fine-Grained Video Captioning through Scene Graph Consolidation—0
Exploring Visual Relationship for Image Captioning—0
A Survey of Evaluation Metrics Used for NLG Systems—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
Exploring Visual Culture Awareness in GPT-4V: A Comprehensive Probing—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