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
Generating Image Descriptions using Multilingual Data—0
Generating Natural Language Descriptions for Semantic Representations of Human Brain Activity—0
Generating Triples with Adversarial Networks for Scene Graph Construction—0
Generating Video Descriptions with Topic Guidance—0
Generation of Radiology Findings in Chest X-Ray by Leveraging Collaborative Knowledge—0
Generative Bridging Network for Neural Sequence Prediction—0
Generative Distribution Prediction: A Unified Approach to Multimodal Learning—0
Generic Attention-model Explainability by Weighted Relevance Accumulation—0
Geo-Aware Image Caption Generation—0
Geometry-Entangled Visual Semantic Transformer for Image Captioning—0
GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing—0
GeoRSMLLM: A Multimodal Large Language Model for Vision-Language Tasks in Geoscience and Remote Sensing—0
GeoSeq2Seq: Information Geometric Sequence-to-Sequence Networks—0
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity—0
Good Representation, Better Explanation: Role of Convolutional Neural Networks in Transformer-Based Remote Sensing Image Captioning—0
Google Neural Network Models for Edge Devices: Analyzing and Mitigating Machine Learning Inference Bottlenecks—0
Graph Neural Networks in Vision-Language Image Understanding: A Survey—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
Green Runner: A tool for efficient model selection from model repositories—0
GroundCap: A Visually Grounded Image Captioning Dataset—0
Grounded Video Caption Generation—0
Grounding Semantic Roles in Images—0
Group-based Distinctive Image Captioning with Memory Attention—0
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention—0
GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints—0
Grow and Prune Compact, Fast, and Accurate LSTMs—0
Guide Me: Interacting with Deep Networks—0
Guiding Attention using Partial-Order Relationships for Image Captioning—0
Guiding Image Captioning Models Toward More Specific Captions—0
HAAV: Hierarchical Aggregation of Augmented Views for Image Captioning—0
Hallucination at a Glance: Controlled Visual Edits and Fine-Grained Multimodal Learning—0
Hand1000: Generating Realistic Hands from Text with Only 1,000 Images—0
Harvesting Information from Captions for Weakly Supervised Semantic Segmentation—0
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder—0
Hide-and-Tell: Learning to Bridge Photo Streams for Visual Storytelling—0
Hiding-in-Plain-Sight (HiPS) Attack on CLIP for Targetted Object Removal from Images—0
Hierarchical Graph Attention Network for Few-Shot Visual-Semantic Learning—0
Hierarchical LSTMs with Adaptive Attention for Visual Captioning—0
Hierarchical memory decoder for visual narrating—0
Hierarchical Prototype Learning for Zero-Shot Recognition—0
Hierarchy Parsing for Image Captioning—0
Towards Explainable Neural-Symbolic Visual Reasoning—0
HindSight: A Graph-Based Vision Model Architecture For Representing Part-Whole Hierarchies—0
HMGIE: Hierarchical and Multi-Grained Inconsistency Evaluation for Vision-Language Data Cleansing—0
Holistic Evaluation of GPT-4V for Biomedical Imaging—0
HorNet: A Hierarchical Offshoot Recurrent Network for Improving Person Re-ID via Image Captioning—0
How Can Objects Help Video-Language Understanding?—0
How Culturally Aware are Vision-Language Models?—0
HOW IMPORTANT ARE NETWORK WEIGHTS? TO WHAT EXTENT DO THEY NEED AN UPDATE?—0
How to Bridge the Gap between Modalities: Survey on Multimodal Large Language Model—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