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- SOTA，benchmark和baseline分别是什么意思？ - 知乎
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。
- 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machine learning problems We do our best to keep this repository up to date If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year) W…
- GitHub - stepfun-ai Step1X-Edit: A SOTA open-source image editing model . . .
A SOTA open-source image editing model, which aims to provide comparable performance against the closed-source models like GPT-4o and Gemini 2 Flash - stepfun-ai Step1X-Edit
- 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
- SOTA Image Classification Models in PyTorch - GitHub
A collection of SOTA Image Classification Models in PyTorch Topics deep-learning cnn pytorch transformer imagenet image-classification mlp quantization object-recognition sota vision-transformer mlp-mixer
- RF-DETR: SOTA Real-Time Object Detection Model - GitHub
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 It also achieves state
- 目前大模型量化方案有很多，有哪些比较SOTA的 . . . - 知乎
SOTA这个东西跟时间相关，做的比较早的那些比如GPTQ，SmoothQuant，AWQ就不提了，新一点的只说开源的吧。 2025年3月16日： PTQ : OmniQuant，QLLM，DuQuant，FlatQuant，SpinQuant，PrefixQuant，目前看起来后面这几个带旋转矩阵的效果最好，但需要考虑额外的部署开销。
- 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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