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Found 2 papers, 1 papers with code
Separate, Dynamic and Differentiable (SMART) Pruner for Block/Output Channel Pruning on Computer Vision Tasks
In our experiments, the SMART pruner consistently demonstrated its superiority over existing pruning methods across a wide range of tasks and models on block and output channel pruning.
T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence Learning
We develop a conceptually simple, flexible, and effective framework (named T-Net) for two-view correspondence learning.
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