Papers with Code 아카이브

Image Captioning

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 8
평가표: 34
보존된 평가 기록: 419

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)

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

Image Captioning

코드

https://github.com/MindSpore-scientific/code-11/tree/main/Knowing-When-to-Look-Adaptive-Attention

https://github.com/MindSpore-scientific/code-13/tree/main/Knowing-When-to-Look-Adaptive-Attention

https://github.com/MindSpore-scientific/code-14/tree/main/ReSeg

https://github.com/MindSpore-scientific/code-4/tree/main/Knowing-When-to-Look-Adaptive-Attention

https://github.com/MindSpore-scientific/code-5/tree/main/ReSeg

https://github.com/MindSpore-scientific/code-6/tree/main/Neural-Side-by-Side

https://github.com/MindSpore-scientific/code-8/tree/main/Knowing-When-to-Look-Adaptive-Attention

https://github.com/Mogbo/image-caption

https://github.com/Mrnoorsingh/image-caption

https://github.com/Muennighoff/Im2txt

https://github.com/NaskyD/convnet

https://github.com/Neznakomec/ml-project-transformers

https://github.com/NicholasKX/ShowAndTell

https://github.com/NicholasKX/ShowAttendTell

https://github.com/OFRIN/Tensorflow_FixMatch

https://github.com/OpenBMB/MiniCPM-o

https://github.com/OpenSpaceAI/EC-Depth

https://github.com/PaddlePaddle/FleetX

https://github.com/PaddlePaddle/PaddleClas

https://github.com/PaddlePaddle/PaddleDetection/tree/develop/configs/semi_det

https://github.com/PaddlePaddle/PaddleNLP

https://github.com/PaddlePaddle/PaddleNLP/tree/develop/pipelines/examples/text_to_image

https://github.com/PaddlePaddle/Research

https://github.com/PaddlePaddle/Research/tree/master/NLP/UNIMO

https://github.com/Pillercottrer/radcap_project

https://github.com/Pranav-Patil-7/Automatic_Image_Captioning_Project

https://github.com/PsorTheDoctor/microarray-data

https://github.com/QQQiwi/coursepaper-2year

https://github.com/Raykoooo/IAST

https://github.com/RichardChangCA/CSI_5386_NLP_Project

https://github.com/River-sh/A-robust-unsupervised-small-area-change-detection

https://github.com/S-HuaBomb/FixMatch-Paddle

https://github.com/SDaydreamer/VisualQA_Project

https://github.com/SJTU-VLG/ImageCaption-LBPF-qy

https://github.com/Sakura03/SemiMeta

https://github.com/SaraAmd/Semi-Supervised-Learning