3 citations · 5 across the 4 of their papers we have counts for
4 papers
Domain Adaptation of Llama3-70B-Instruct through Continual Pre-Training and Model Merging: A Comprehensive Evaluation
Shamane Siriwardhana, Mark McQuade, Thomas Gauthier +8
We conducted extensive experiments on domain adaptation of the Meta-Llama-3-70B-Instruct model on SEC data, exploring its performance on both general and domain-specific benchmarks…
Self-Supervised 3D Monocular Object Detection by Recycling Bounding Boxes
Sugirtha T, Sridevi M, Khailash Santhakumar +4
Modern object detection architectures are moving towards employing self-supervised learning (SSL) to improve performance detection with related pretext tasks. Pretext tasks for mon…
Simulation-to-Reality domain adaptation for offline 3D object annotation on pointclouds with correlation alignment
Weishuang Zhang, B Ravi Kiran, Thomas Gauthier +2
Annotating objects with 3D bounding boxes in LiDAR pointclouds is a costly human driven process in an autonomous driving perception system. In this paper, we present a method to se…
Exploring 2D Data Augmentation for 3D Monocular Object Detection
Sugirtha T, Sridevi M, Khailash Santhakumar +3
Data augmentation is a key component of CNN based image recognition tasks like object detection. However, it is relatively less explored for 3D object detection. Many standard 2D o…