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Found 6 papers, 2 papers with code
Enhanced Simultaneous Machine Translation with Word-level Policies
Recent years have seen remarkable advances in the field of Simultaneous Machine Translation (SiMT) due to the introduction of innovative policies that dictate whether to READ or WRITE at each step of the translation process.
Quantitative Prediction on the Enantioselectivity of Multiple Chiral Iodoarene Scaffolds Based on Whole Geometry
The molecular descriptors were verified by the statistical comparison of the enantioselective predictive classification models built from each descriptors of chiral iodoarenes.
1-Point RANSAC-Based Method for Ground Object Pose Estimation
Given outlier-contaminated data, a pose of an object is calculated with PnP algorithms of n = {3, 4} in the RANSAC-based scheme.
Probabilistic Anchor Assignment with IoU Prediction for Object Detection
In this paper we propose a novel anchor assignment strategy that adaptively separates anchors into positive and negative samples for a ground truth bounding box according to the model's learning status such that it is able to reason about the separation in a probabilistic manner.
Ranked #45 on
Object Detection
on COCO test-dev
Learning reaction coordinates via cross-entropy minimization: Application to alanine dipeptide
We propose a cross-entropy minimization method for finding the reaction coordinate from a large number of collective variables in complex molecular systems.
Chemical Physics Statistical Mechanics
Simultaneous Traffic Sign Detection and Boundary Estimation using Convolutional Neural Network
By formulating the boundary estimation problem as a CNN-based pose and shape prediction task, our method is end-to-end trainable, and more robust to occlusion and small targets than other boundary estimation methods that rely on contour estimation or image segmentation.
