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Found 6 papers, 3 papers with code
Gloss2Text: Sign Language Gloss translation using LLMs and Semantically Aware Label Smoothing
Sign language translation from video to spoken text presents unique challenges owing to the distinct grammar, expression nuances, and high variation of visual appearance across different speakers and contexts.
Fingerspelling PoseNet: Enhancing Fingerspelling Translation with Pose-Based Transformer Models
We also propose a novel two-stage inference approach that re-ranks the hypotheses using the language model capabilities of the decoder.
U2RLE: Uncertainty-Guided 2-Stage Room Layout Estimation
While the existing deep learning-based room layout estimation techniques demonstrate good overall accuracy, they are less effective for distant floor-wall boundary.
Review on 6D Object Pose Estimation with the focus on Indoor Scene Understanding
6D object pose estimation problem has been extensively studied in the field of Computer Vision and Robotics.
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges
Machine Learning algorithms have had a profound impact on the field of computer science over the past few decades.
Object Pose Estimation using Mid-level Visual Representations
The deep convolutional network models (CNN) for pose estimation are typically trained and evaluated on datasets specifically curated for object detection, pose estimation, or 3D reconstruction, which requires large amounts of training data.
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Pose Estimation
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