Thank you for your excellent work and for sharing your code! I have a question regarding the positional encoding strategy used in the model. From the code, I noticed that after obtaining the Sonata ...

As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history evaluation, it is crucial to recognize the limitations of these models. While ...

The attention mechanism is a core primitive in modern large language models (LLMs) and AI more broadly. Since attention by itself is permutation-invariant, position encoding is essential for modeling ...

Transformers have emerged as foundational tools in machine learning, underpinning models that operate on sequential and structured data. One critical challenge in this setup is enabling the model to ...

Spiking neural networks (SNNs) are bio-inspired networks that mimic how neurons in the brain communicate through discrete spikes, which have great potential in various tasks due to their energy ...

Abstract: In this paper, we address the challenge of making ViT models more robust to unseen affine transformations. Such robustness becomes useful in various recognition tasks such as face ...

This is the official implementation of the paper "V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection". Step 3. install Minkowski Engine. git ...