8 citations · 16 across the 3 of their papers we have counts for
4 papers
Complexity Scaling Laws for Neural Models using Combinatorial Optimization
Lowell Weissman, Michael Krumdick, A. Lynn Abbott
Recent work on neural scaling laws demonstrates that model performance scales predictably with compute budget, model size, and dataset size. In this work, we develop scaling laws b…
Color Invariant Skin Segmentation
Han Xu, Abhijit Sarkar, A. Lynn Abbott
This paper addresses the problem of automatically detecting human skin in images without reliance on color information. A primary motivation of the work has been to achieve results…
Adaptive Label Smoothing
Ujwal Krothapalli, A. Lynn Abbott
This paper concerns the use of objectness measures to improve the calibration performance of Convolutional Neural Networks (CNNs). CNNs have proven to be very good classifiers and…
Category-Level Articulated Object Pose Estimation
Xiaolong Li, He Wang, Li Yi +3
This project addresses the task of category-level pose estimation for articulated objects from a single depth image. We present a novel category-level approach that correctly accom…