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 1301–1350 of 1878 papers

TitleStatusHype
Towards Succinct and Relevant Image Descriptions—0
Towards Task Understanding in Visual Settings—0
Towards Temporal Change Explanations from Bi-Temporal Satellite Images—0
Towards Unsupervised Image Captioning with Shared Multimodal Embeddings—0
TPCap: Unlocking Zero-Shot Image Captioning with Trigger-Augmented and Multi-Modal Purification Modules—0
TPsgtR: Neural-Symbolic Tensor Product Scene-Graph-Triplet Representation for Image Captioning—0
Transferable Adversarial Attacks on Black-Box Vision-Language Models—0
Transfer Reward Learning for Policy Gradient-Based Text Generation—0
Transferring General Multimodal Pretrained Models to Text Recognition—0
Transformer based Multitask Learning for Image Captioning and Object Detection—0
Transitional Adaptation of Pretrained Models for Visual Storytelling—0
Transparent Human Evaluation for Image Captioning—0
Treat the system like a human student: Automatic naturalness evaluation of generated text without reference texts—0
TreeTalk: Composition and Compression of Trees for Image Descriptions—0
TrojVLM: Backdoor Attack Against Vision Language Models—0
TTT: A Tree Transduction Language for Syntactic and Semantic Processing—0
Tuning computer vision models with task rewards—0
Turbo Learning for Captionbot and Drawingbot—0
Two can play this Game: Visual Dialog with Discriminative Question Generation and Answering—0
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
UIT-OpenViIC: A Novel Benchmark for Evaluating Image Captioning in Vietnamese—0
Uncertainty-Aware Image Captioning—0
Understanding Advertisements with BERT—0
Understanding, Categorizing and Predicting Semantic Image-Text Relations—0
Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions—0
Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task—0
Understanding Transfer Learning for Chest Radiograph Clinical Report Generation with Modified Transformer Architectures—0
UniBrain: Unify Image Reconstruction and Captioning All in One Diffusion Model from Human Brain Activity—0
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training—0
Unified Autoregressive Visual Generation and Understanding with Continuous Tokens—0
UniMS: A Unified Framework for Multimodal Summarization with Knowledge Distillation—0
Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets—0
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning—0
UnMA-CapSumT: Unified and Multi-Head Attention-driven Caption Summarization Transformer—0
Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards—0
Unpaired Image Captioning by Image-level Weakly-Supervised Visual Concept Recognition—0
Unpaired Image Captioning by Language Pivoting—0
Unpaired Image Captioning via Scene Graph Alignments—0
UNISON: Unpaired Cross-lingual Image Captioning—0
Unsupervised Disambiguation of Image Captions—0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
Unsupervised Topic Modeling for Short Texts Using Distributed Representations of Words—0
User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning—0
Using Image Captions and Multitask Learning for Recommending Query Reformulations—0
Using Machine Translation to Augment Multilingual Classification—0
Using Word Embeddings for Unsupervised Acronym Disambiguation—0
Uterine Ultrasound Image Captioning Using Deep Learning Techniques—0
Utilizing Large Scale Vision and Text Datasets for Image Segmentation from Referring Expressions—0
Validity-Based Sampling and Smoothing Methods for Multiple Reference Image Captioning—0
Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models—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