https://github.com/fbuchert/fixmatch-pytorch
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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)
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
RISE: Randomized Input Sampling for Explanation of Black-box Models
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
End-to-End Semi-Supervised Object Detection with Soft Teacher
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.