SOTA，benchmark和baseline分别是什么意思？ - 知乎
SOTA是state of the art的缩写，指某特定时间背景下的最高水准。例如，SOTA model 最先进的模型。 benchmark通常指的是一个（标准的）衡量规定或是评估标准。具体的可以理解成，在 …
SOTA Image Classification Models in PyTorch - GitHub
A collection of SOTA Image Classification Models in PyTorch - sithu31296/sota-backbones
GitHub - roboflow/notebooks: A collection of tutorials on state-of …
This repository offers a growing collection of computer vision tutorials. Learn to use SOTA models like YOLOv11, SAM 2, Florence-2, PaliGemma 2, and Qwen2.5-VL for tasks ranging from …
State-of-the-art result for all Machine Learning Problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date …
paperswithcode/sota-extractor: The SOTA extractor pipeline
Aggregate public SOTA tables that are shared under free licences. Download the scraped data or run the scrapers yourself to get the latest data. In the future, we are planning to automate the …
如何查询自己细分方向论文的sota方法? - 知乎
可以通过以下方法来查询自己细分方向论文的sota方法： 在学术网站（如Google Scholar、SCI-Hub等）中搜索相关关键词，查询最新或热门的论文。 在学术会议或期刊网站中搜索相关领域 …
RF-DETR: SOTA Real-Time Detection and Segmentation Model
Apr 3, 2025 · RF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO and designed for fine-tuning. - roboflow/rf-detr
GitHub - ZNLP/SOTA-MT: This project attempts to maintain the …
Machine translation has entered the era of neural methods, which attracts more and more researchers. Currently, hundreds of MT papers are published each year and it is a bit difficult …
请问发nlp或者cv论文，一定要是sota吗？ - 知乎
请问发nlp或者cv论文，一定要是sota吗？ 现在有了一个想法，就是结果比sota差点，而且sota用了n多种方法刷结果 显示全部 关注者 292
2023年10月这个节点，强化学习领域的SOTA是？ - 知乎
SOTA (State-of-the-art): - MuZero:Google DeepMind在2020年提出的基于蒙特卡洛树搜索和神经网络的强化学习算法,在多个棋盘游戏和电子游戏中都取得了极强的超人水平表现。