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Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation
Conventional domain adaptation algorithms aim to achieve better generalization by aligning only the task-discriminative causal factors between a source and target domain.
CoRF : Colorizing Radiance Fields using Knowledge Distillation
We propose a distillation based method to transfer color knowledge from the colorization networks trained on natural images to the radiance field network.
Strata-NeRF : Neural Radiance Fields for Stratified Scenes
We propose Strata-NeRF, a single neural radiance field that implicitly captures a scene with multiple levels.
CapsFlow: Optical Flow Estimation with Capsule Networks
We present a framework to use recently introduced Capsule Networks for solving the problem of Optical Flow, one of the fundamental computer vision tasks.
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