I work for a company that prints artwork with special effects added to parts of the picture based on masked layers (holographic, prism, metallic etc.). Investigating if there are any similar image segmentation task to our usecase. The thing is that for a given image multiple masks can be relevant. Let's say an image depicts a warrior with a sword, a...

Open-ended discussion on the limits and merits to both sides? submitted by /u/Alive-Tech-946 [link] [comments]

Context: Running a training for dinov2 using torchrun. I have two nodes. When I run training (1 gpu per node) w/nproc=1, it works. When I allocate 2 gpus per node, I change nproc to 2. The training then crashes when trying to initialize the model. Any insight on what this could be? submitted by /u/dillpill4 [link] [comments]

Hey everyone, I'm diving into the world of time series data augmentation and I'm curious about the current state of the art techniques, particularly those that are accessible through Python libraries. Techniques: What are some of the most effective methods for augmenting time series data? Are there any recent advancements or innovative approaches worth...

I have 780 images. All of them are microscopic and I'm doing microplastic image detection. First I did binary classification using U-Net and then VGG-16 transfer learning. Google Colab didn't crash one bit. Worked really well. Now I'm doing multi-class segmentation and pre-processing is kinda same. except for one extra channel for colored masks. But,...

Hello, Hello, I'm preparing a paper for a top-tier conference and am grappling with what qualifies as a significant contribution. My research involves comparing the performance of at least five LLMs on a domain-specific question-answering task. For confidentiality, I won't specify the domain. I created a new dataset from Wikipedia, as no suitable dataset...