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Found 3 papers, 2 papers with code
Meta-Point Learning and Refining for Category-Agnostic Pose Estimation
Existing methods only rely on the features extracted at support keypoints to predict or refine the keypoints on query image, but a few support feature vectors are local and inadequate for CAPE.
Perceptually Optimized Deep High-Dynamic-Range Image Tone Mapping
We describe a deep high-dynamic-range (HDR) image tone mapping operator that is computationally efficient and perceptually optimized.
Exposing Semantic Segmentation Failures via Maximum Discrepancy Competition
A natural question then arises: Does the superior performance on the closed (and frequently re-used) test sets transfer to the open visual world with unconstrained variations?
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