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- RF-DETR: Real-Time SOTA Detection and Segmentation
RF-DETR: Real-Time SOTA Detection and Segmentation RF-DETR is a real-time transformer architecture for object detection and instance segmentation developed by Roboflow Built on a DINOv2 vision transformer backbone, RF-DETR delivers state-of-the-art accuracy and latency trade-offs on Microsoft COCO and RF100-VL
- A SOTA Industrial-Grade All-in-One ASR System - GitHub
A SOTA Industrial-Grade All-in-One ASR system with ASR, VAD, LID, and Punc modules FireRedASR2 supports Chinese (Mandarin, 20+ dialects accents), English, code-switching, and both speech and singing ASR
- FireRedVAD: A SOTA Industrial-Grade - GitHub
FireRedVAD: A SOTA Industrial-Grade Voice Activity Detection Audio Event Detection [Paper] [Model🤗] [Model🤖] [Demo] FireRedVAD is a state-of-the-art (SOTA) industrial-grade Voice Activity Detection (VAD) and Audio Event Detection (AED) solution FireRedVAD supports non-streaming streaming VAD and non-streaming AED
- 请问发nlp或者cv论文，一定要是sota吗？ - 知乎
2、如果你主卖的就不是性能，就不需要，比如我主卖速度快，在性能只掉一点的情况下，速度大幅度提升，这就完全不用sota了。 如果此时你还到了sota，还会写论文的话，那基本问题不大了。 我个人觉得什么时候需要：
- 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!
- ucan-ai SOTA-notebooks - GitHub
Examples and tutorials on using SOTA computer vision models and techniques Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM - ucan-ai SOTA-notebooks
- 2023年10月这个节点，强化学习领域的SOTA是？ - 知乎
截至当前，强化学习领域的SOTA算法是由清华大学于2021年被提出并发表的 Distributional Soft Actor-Critic（DSAC） 算法。 DSAC 构建在最大熵强化学习框架 （Soft Actor-Critic，SAC） 的基础上，引入了 值分布学习理论。
- GitHub - resemble-ai chatterbox: SoTA open-source TTS
Made with ♥️ by Chatterbox is a family of three state-of-the-art, open-source text-to-speech models by Resemble AI We are excited to introduce Chatterbox-Turbo, our most efficient model yet Built on a streamlined 350M parameter architecture, Turbo delivers high-quality speech with less compute and VRAM than our previous models We have also distilled the speech-token-to-mel decoder
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