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- 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，在某个标准的数据集上用某种规定的方式（进行实验）并且用某几个指标来衡量算法的性能，这样规定被称为benchmark。由于
- 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machine learning problems We do our best to keep this repository up to date If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year) We will fix it immediately - RedditSota state-of
- SOTA Image Classification Models in PyTorch - GitHub
A collection of SOTA Image Classification Models in PyTorch - sithu31296 sota-backbones
- RF-DETR: SOTA Real-Time Object Detection Model - GitHub
RF-DETR: SOTA Real-Time Object Detection Model RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2 0 license RF-DETR is the first real-time model to exceed 60 AP on the Microsoft COCO benchmark alongside competitive performance at base sizes
- FireRedASR: Open-Source Industrial-Grade - GitHub
FireRedASR is a family of open-source industrial-grade automatic speech recognition (ASR) models supporting Mandarin, Chinese dialects and English, achieving a new state-of-the-art (SOTA) on public Mandarin ASR benchmarks, while also offering outstanding singing lyrics recognition capability
- 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 290
- GitHub - microsoft LLM2CLIP: LLM2CLIP makes SOTA pretrained CLIP model . . .
LLM2CLIP makes SOTA pretrained CLIP model more SOTA ever - microsoft LLM2CLIP
- GitHub - roboflow notebooks: A collection of tutorials on state-of-the . . .
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 object detection, segmentation, and pose estimation to data extraction and OCR Dive in and explore the exciting world of computer vision!
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