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Found 6 papers, 2 papers with code
TransDocs: Optical Character Recognition with word to word translation
While OCR has been used in various applications, its output is not always accurate, leading to misfit words.
Learning video embedding space with Natural Language Supervision
The recent success of the CLIP model has shown its potential to be applied to a wide range of vision and language tasks.
Dynamic Object Removal for Effective Slam
This research paper focuses on the problem of dynamic objects and their impact on effective motion planning and localization.
Unsupervised Feature Learning of Human Actions as Trajectories in Pose Embedding Manifold
In this work we propose a novel temporal pose-sequence modeling framework, which can embed the dynamics of 3D human-skeleton joints to a continuous latent space in an efficient manner.
Ask, Acquire, and Attack: Data-free UAP Generation using Class Impressions
Given a model, there exist broadly two approaches to craft UAPs: (i) data-driven: that require data, and (ii) data-free: that do not require data samples.
AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation
Supervised deep learning methods have shown promising results for the task of monocular depth estimation; but acquiring ground truth is costly, and prone to noise as well as inaccuracies.
