Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
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Updated
May 17, 2024
Implementation of MedQ: Lossless ultra-low-bit neural network quantization for medical image segmentation
Library for Structured Matrices (approximation methods and structured layers for neural networks)
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Approximating a 3DCNN with a 2DCNN
DiSK: Distilling Scaffolded Knowledge from Teacher to Student.
NeurIPS 2019 MicroNet Challenge
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Official PyTorch implementation of our ECCV 2022 paper "Sliced Recursive Transformer"
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[KDD'22] Learned Token Pruning for Transformers
[ICLR 2022 Oral] F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization
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[ECCV 2022] Official implementation of the paper "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation"
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