Search Results for author:
Found 6 papers, 1 papers with code
Artificial Intelligence for Operations Research: Revolutionizing the Operations Research Process
The rapid advancement of artificial intelligence (AI) techniques has opened up new opportunities to revolutionize various fields, including operations research (OR).
ETran: Energy-Based Transferability Estimation
This is the first work that proposes transferability estimation for object detection task.
Ranked #1 on
Transferability
on classification benchmark
Objects Matter: Learning Object Relation Graph for Robust Camera Relocalization
Visual relocalization aims to estimate the pose of a camera from one or more images.
Pseudo-Label Generation-Evaluation Framework For Cross Domain Weakly Supervised Object Detection
Cross domain weakly supervised object detection (CDWSOD), where we can get access to instance-level annotations in the source domain while only image-level annotations are available in the target domain, adapts object detectors from label-rich to label-poor domains.
Adversarial Multi-scale Feature Learning for Person Re-identification
The key to accurately measure visual similarities is learning discriminative features, which not only captures clues from different spatial scales, but also jointly inferences on multiple scales, with the ability to determine reliability and ID-relativity of each clue.
Person Re-identification with Adversarial Triplet Embedding
In this paper, we propose to address this problem with a new deep metric learning method called Adversarial Triplet Embedding (ATE), in which we simultaneously generate adversarial triplets and discriminative feature embedding in an unified framework.
