This is the repository for CVPR2021 Dynamic Metric Learning: Towards a Scalable Metric Space to Accommodate Multiple Semantic Scales

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This repo contains the official implementations of EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

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PyTorch implementation of our ICCV2021 paper: StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation

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source code for 'Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge' by A. Shah, K. Shanmugam, K. Ahuja

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Code for Mining the Benefits of Two-stage and One-stage HOI Detection

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