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Benchmarking

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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평가표

2

보존된 평가 기록

2

코드

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

https://github.com/zz10001/LITS2017-main1

The Liver Tumor Segmentation Benchmark (LiTS)

https://github.com/zzq96/mmdetection

MMDetection: Open MMLab Detection Toolbox and Benchmark

https://github.com/zzy-zhou/renet

Event-Free Moving Object Segmentation from Moving Ego Vehicle

https://github.com/zzzace2000/mimic-preprocess

Multitask learning and benchmarking with clinical time series data

https://github.com/zzzweakman/cvpr24_frcsyn_admis

Second Edition FRCSyn Challenge at CVPR 2024: Face Recognition Challenge in the Era of Synthetic Data

https://gitlab.com/mia_jinns/pinn-multi-library-benchmark

PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs

https://gitlab.com/secml/secml

Technical Report on the CleverHans v2.1.0 Adversarial Examples Library

https://huggingface.co/julianzy/CheckGPT

On the Detectability of ChatGPT Content: Benchmarking, Methodology, and Evaluation through the Lens of Academic Writing

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.