Papers with Code 아카이브
Seeing Beyond the Visible
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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The objective of this challenge is to automate the process of estimating the soil parameters, specifically, potassium (KKK), phosphorus pentoxide (P2O5P_2O_5P2O5), magnesium (MgMgMg) and pHpHpH, through extracting them from the airborne hyperspectral images captured over agricultural areas in Poland (the exact locations are not revealed). To make the solution applicable in real-life use cases, all the parameters should be estimated as precisely as possible.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Predicting Soil Properties from Hyperspectral Satellite Images
Reduce Information Loss in Transformers for Pluralistic Image Inpainting
Towards An End-to-End Framework for Flow-Guided Video Inpainting
Resolution-robust Large Mask Inpainting with Fourier Convolutions
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting
Learning Joint Spatial-Temporal Transformations for Video Inpainting
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.