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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 951–1000 of 1878 papers

TitleStatusHype
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks—0
Exploring External Knowledge for Accurate modeling of Visual and Language Problems—0
Paraphrase Acquisition from Image CaptionsCode0
Style-Aware Contrastive Learning for Multi-Style Image Captioning—0
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data—0
Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation—0
Exploring the Synergy Between Vision-Language Pretraining and ChatGPT for Artwork Captioning: A Preliminary StudyCode0
Visual Semantic Relatedness Dataset for Image CaptioningCode0
Towards Models that Can See and Read—0
Embodied Agents for Efficient Exploration and Smart Scene Description—0
An Image captioning algorithm based on the Hybrid Deep Learning Technique (CNN+GRU)—0
Adaptively Clustering Neighbor Elements for Image-Text GenerationCode0
An Empirical Investigation into the Use of Image Captioning for Automated Software Documentation—0
Image as a Foreign Language: BEiT Pretraining for Vision and Vision-Language Tasks—0
Crossing the Gap: Domain Generalization for Image Captioning—0
PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3—0
On the Interpretability of Attention NetworksCode0
Do DALL-E and Flamingo Understand Each Other?—0
Transferring General Multimodal Pretrained Models to Text Recognition—0
Efficient Image Captioning for Edge Devices—0
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning—0
NLIP: Noise-robust Language-Image Pre-training—0
Cap2Aug: Caption guided Image to Image data Augmentation—0
REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge MemoryCode0
ParsVQA-Caps: A Benchmark for Visual Question Answering and Image Captioning in Persian—0
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement LearningCode0
Adaptive Testing of Computer Vision ModelsCode0
Dataset vs Reality: Understanding Model Performance from the Perspective of Information Need—0
Controllable Image Captioning via Prompting—0
Weakly Supervised Annotations for Multi-modal Greeting Cards Dataset—0
Focus! Relevant and Sufficient Context Selection for News Image Captioning—0
Uncertainty-Aware Image Captioning—0
CLID: Controlled-Length Image Descriptions with Limited DataCode0
Predictive linguistic cues for fake news: a societal artificial intelligence problem—0
Can Machines Imitate Humans? Integrative Turing Tests for Vision and Language Demonstrate a Narrowing Gap—0
Retrieval-Augmented Multimodal Language Modeling—0
A survey on knowledge-enhanced multimodal learning—0
An Enhanced Object Detection Model for Scene Graph Generation—0
Feedback is Needed for Retakes: An Explainable Poor Image Notification Framework for the Visually Impaired—0
Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment—0
Investigations in Audio Captioning: Addressing Vocabulary Imbalance and Evaluating Suitability of Language-Centric Performance Metrics—0
VieCap4H-VLSP 2021: ObjectAoA-Enhancing performance of Object Relation Transformer with Attention on Attention for Vietnamese image captioning—0
Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions—0
Image Caption Generation for Low-Resource Assamese Language—0
DiMBERT: Learning Vision-Language Grounded Representations with Disentangled Multimodal-Attention—0
FaD-VLP: Fashion Vision-and-Language Pre-training towards Unified Retrieval and Captioning—0
Bloom Library: Multimodal Datasets in 300+ Languages for a Variety of Downstream Tasks—0
RSVG: Exploring Data and Models for Visual Grounding on Remote Sensing Data—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
Prophet Attention: Predicting Attention with Future Attention for Image Captioning—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