Overview A mix of beginner and advanced-level books to suit various learning needs.Each book blends theory with practical ...

Abstract: Object detection is a foundation process in computer vision having widespread applications in autonomous driving, medical diagnostics and security monitoring. Recent advancements and ...

My machine is equipped with an A40 GPU, and I intended to use GPU 2 for prefill and GPU 7 for decode to test a single-machine PD deployment. The setup operates normally, and the services run without ...

Abstract: Current video object segmentation approaches primarily rely on frame-wise appearance information to perform matching. Despite significant progress, reliable matching becomes challenging due ...

I noticed that in the DINOv3 repository, there are training scripts for linear probing (linear.py), k-NN (eval_knn.py), and logistic regression (eval_log_reg.py) heads, as well as corresponding main ...