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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
Deep Learning Approaches on Image Captioning: A Review—0
A Frustratingly Simple Approach for End-to-End Image Captioning—0
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and GenerationCode5
An Integrated Approach for Video Captioning and Applications—0
Visual Information Guided Zero-Shot Paraphrase GenerationCode0
Discovering Non-Monotonic Autoregressive Ordering for Text Generation Models using Sinkhorn Distributions—0
Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset—0
Transparent Human Evaluation for Image Captioning—0
All You May Need for VQA are Image Captions—0
Long-Tail Classification for Distinctive Image Captioning: A Simple yet Effective Remedy for Side Effects of Reinforcement Learning—0
Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand—0
Uni-EDEN: Universal Encoder-Decoder Network by Multi-Granular Vision-Language Pre-training—0
Repurposing Existing Deep Networks for Caption and Aesthetic-Guided Image Cropping—0
Compact Bidirectional Transformer for Image CaptioningCode1
Synthesizer Based Efficient Self-Attention for Vision Tasks—0
Interactive Attention AI to translate low light photos to captions for night scene understanding in women safety—0
StyleM: Stylized Metrics for Image Captioning Built with Contrastive N-grams—0
DIFNet: Boosting Visual Information Flow for Image Captioning—0
DeeCap: Dynamic Early Exiting for Efficient Image CaptioningCode1
Show, Deconfound and Tell: Image Captioning With Causal InferenceCode1
ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationCode1
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge—0
Extended Self-Critical Pipeline for Transforming Videos to Text (TRECVID-VTT Task 2021) -- Team: MMCUniAugsburg—0
Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation—0
A Fistful of Words: Learning Transferable Visual Models from Bag-of-Words Supervision—0
VL-Adapter: Parameter-Efficient Transfer Learning for Vision-and-Language TasksCode1
MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-based Image Captioning—0
Injecting Semantic Concepts into End-to-End Image CaptioningCode1
Bidimensional Leaderboards: Generate and Evaluate Language Hand in HandCode1
Protecting Intellectual Property of Language Generation APIs with Lexical WatermarkCode0
Consensus Graph Representation Learning for Better Grounded Image Captioning—0
Object-Centric Unsupervised Image CaptioningCode0
Image2tweet: Datasets in Hindi and English for Generating Tweets from ImagesCode0
A Scaled Encoder Decoder Network for Image Captioning in Hindi—0
Image Caption Generation Framework for Assamese News using Attention Mechanism—0
Set Prediction in the Latent SpaceCode0
Neural Attention for Image Captioning: Review of Outstanding Methods—0
ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic ArithmeticCode1
Scene Graph Generation with Geometric Context—0
Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets—0
Scaling Up Vision-Language Pre-training for Image Captioning—0
UniTAB: Unifying Text and Box Outputs for Grounded Vision-Language ModelingCode1
L-Verse: Bidirectional Generation Between Image and TextCode1
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning—0
ClipCap: CLIP Prefix for Image CaptioningCode2
Transparent Human Evaluation for Image CaptioningCode1
Enabling Multimodal Generation on CLIP via Vision-Language Knowledge Distillation—0
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer—0
On Vision Features in Multimodal Machine Translation—0
Temporal Knowledge-Aware 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