Paper Reproduction for "Learning Monocular Dense Depth from Events" | CS4245 Computer Vision by Deep Learning course project
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Updated
Mar 9, 2023 - Python
Paper Reproduction for "Learning Monocular Dense Depth from Events" | CS4245 Computer Vision by Deep Learning course project
Code for the submission to the ML Reproducibility Challenge 2022, reproducing "If you like Shapley then you'll love the core"
Fork of ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY 复现
ner and pos when nothing is capitalized - paper reproduction
Megvii workshop in large-scale network reimplementation and re-evaluation, Nov. 2021
复现 NTK-SAP: IMPROVING NEURAL NETWORK PRUNING BY ALIGNING TRAINING DYNAMICS
复现 Towards Data-Agnostic Pruning At Initialization: What Makes a Good Sparse Mask?
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