Abstract: 3D single object tracking plays a crucial role in numerous applications such as autonomous driving. Recent trackers based on motion-centric paradigm perform well as they exploit motion cues ...
To test the new chips, the researchers used a special machine, like the one pictured here, to perform automated electrical characterization of the designs on a wafer of chips.Bella Ciervo, Penn ...
Abstract: The LLM decoding process poses a significant challenge for memory bandwidth due to its autoregressive nature. Prior 2D memory solutions fail to overcome this memory bottleneck due to limited ...
This model's architecture and input pipeline are based on the framework laid out by YOLOv5 at commit ed887b5976d94dc61fa3f7e8e07170623dc7d6ee. To increase ...
CLM enables training of large-scale 3D Gaussian Splatting scenes that exceed GPU memory capacity by also exploiting CPU memory. The goal of CLM-GS is to solve GPU out-of-memory problems in 3DGS ...
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