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Found 2 papers, 1 papers with code
Deep Network for Image Compressed Sensing Coding Using Local Structural Sampling
In this paper, we propose a new CNN based image CS coding framework using local structural sampling (dubbed CSCNet) that includes three functional modules: local structural sampling, measurement coding and Laplacian pyramid reconstruction.
Task-Agnostic Learning to Accomplish New Tasks
Inspired by this observation, this paper proposes a task-agnostic learning method (TAL for short) that can learn fragmented knowledge from task-agnostic data to accomplish new tasks.
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