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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 1251–1300 of 1878 papers

TitleStatusHype
Neural Text Generation with Artificial Negative Examples—0
SubICap: Towards Subword-informed Image Captioning—0
WEmbSim: A Simple yet Effective Metric for Image Captioning—0
Image to Bengali Caption Generation Using Deep CNN and Bidirectional Gated Recurrent Unit—0
Alleviating Noisy Data in Image Captioning with Cooperative Distillation—0
Image Captioning as an Assistive Technology: Lessons Learned from VizWiz 2020 ChallengeCode0
Efficient CNN-LSTM based Image Captioning using Neural Network CompressionCode0
AutoCaption: Image Captioning with Neural Architecture Search—0
Robots Understanding Contextual Information in Human-Centered Environments using Weakly Supervised Mask Data Distillation—0
Intrinsic Image Captioning Evaluation—0
Image Captioning with Context-Aware Auxiliary Guidance—0
Simple is not Easy: A Simple Strong Baseline for TextVQA and TextCaps—0
Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning—0
Robust Image Captioning—0
Understanding Guided Image Captioning Performance across DomainsCode0
A Framework and Dataset for Abstract Art Generation via CalligraphyGAN—0
Image Caption Generation for News ArticlesCode0
Geo-Aware Image Caption Generation—0
From “Before” to “After”: Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain—0
ODIANLP’s Participation in WAT2020—0
Bridge the Gap: High-level Semantic Planning for Image Captioning—0
Prophet Attention: Predicting Attention with Future Attention—0
Language-Driven Region Pointer Advancement for Controllable Image CaptioningCode0
Multimodal Learning for Hateful Memes DetectionCode0
SuperOCR: A Conversion from Optical Character Recognition to Image Captioning—0
Structural and Functional Decomposition for Personality Image Captioning in a Communication Game—0
Generating Image Descriptions via Sequential Cross-Modal Alignment Guided by Human GazeCode0
CapWAP: Captioning with a Purpose—0
The ApposCorpus: A new multilingual, multi-domain dataset for factual appositive generation—0
Attention Beam: An Image Captioning Approach—0
Boost Image Captioning with Knowledge Reasoning—0
Dual Attention on Pyramid Feature Maps for Image Captioning—0
CapWAP: Image Captioning with a Purpose—0
Fusion Models for Improved Visual Captioning—0
Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale—0
Image Captioning with Visual Object Representations Grounded in the Textual Modality—0
A Corpus for English-Japanese Multimodal Neural Machine Translation with Comparable Sentences—0
New Ideas and Trends in Deep Multimodal Content Understanding: A Review—0
Positioning yourself in the maze of Neural Text Generation: A Task-Agnostic Survey—0
A Novel Actor Dual-Critic Model for Remote Sensing Image Captioning—0
UNISON: Unpaired Cross-lingual Image Captioning—0
CAPTION: Correction by Analyses, POS-Tagging and Interpretation of Objects using only Nouns—0
Teacher-Critical Training Strategies for Image Captioning—0
Learning Object Detection from Captions via Textual Scene Attributes—0
Spatial Attention as an Interface for Image Captioning Models—0
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning—0
Neural Twins TalkCode0
Image Captioning with Attention for Smart Local Tourism using EfficientNetCode0
A Multimodal Memes Classification: A Survey and Open Research Issues—0
Denoising Large-Scale Image Captioning from Alt-text Data using Content Selection Models—0
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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