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CiMNet: Towards Joint Optimization for DNN Architecture and Configuration for Compute-In-Memory Hardware
With the recent growth in demand for large-scale deep neural networks, compute in-memory (CiM) has come up as a prominent solution to alleviate bandwidth and on-chip interconnect bottlenecks that constrain Von-Neuman architectures.
Robust 3D Scene Segmentation through Hierarchical and Learnable Part-Fusion
3D semantic segmentation is a fundamental building block for several scene understanding applications such as autonomous driving, robotics and AR/VR.
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