Qwen3-VL的DeepStack技术是什么？ - 知乎 Qwen3-VL 中的 DeepStack 的实现 虽然 Qwen3-VL 采用了类似于 DeepStack-L 的策略，即将 visual feature 融入到 Language Model 的浅层，但在 visual feature 的获取上有差别。 区别在于它采用的 DeepStack 策略是将 Vision Tower 指定中间层的输出分别融合到 Language Model 前几层的对应位置。
怎么看AI首次在德州扑克战胜人类职业玩家？ - 知乎 DeepStack takes a fundamentally different approach It continues to use the recursive reasoning of CFR to handle information asymmetry However, it does not compute and store a complete strategy prior to play and so has no need for explicit abstraction Instead it considers each particular situation as it arises during play, but not in isolation
Should we be uninstalling Codeproject and moving back to DeepStack . . . Given the recent events within the Codeproject camp should we be looking at uninstalling CodeProject from BlueIris (and if so does anyone have an good uninstgall guide) and moving to DeepStack? Or is patience a virtue and we can start seeing downloads and updates available for Codeproject soon?
Blue Iris with AI but which one though? - IP Cam Talk With DeepStack apparently now deprecated in Blue Iris, leading to some users of DeepStack being reluctant to update to newer versions of BI, what then is the received wisdom on IPCT about what AI software might be reasonable to replace DeepStack with in Blue Iris? It seems like there is a
Blue Iris + Deepstack assistance - IP Cam Talk Facial recognition with Blue Iris and DeepStack is a kind of hit and miss proposition It's a combination of factors, computing power and the size of the model base, IE how many samples of each object that you want to detect are in the model The built-in model contains thousands of samples When you start adding facial detection typically one or two are all that get added To be somewhat
Synology Surveillance Station with Deepstack AI - IP Cam Talk Install the Deepquestai Deepstack (Tag: noavx or cpu-x3-beta) image and obtain free API as described in the blog post Don’t forget to add the API key after setting up the Docker image by using the link to the NAS as described in the blog post
DeepStack Case Study: Performance from CPU to GPU version I'm posting this thread for anyone considering making the transition from the DeepStack CPU version to the GPU version Hopefully this will give you an impression of what you can expect in terms of enhanced performance Please note some of my observations are system-specific My system specs