Tez Dosyaları 19
A comparative study of deep reinforcement learning methods and conventional controllers for aerial manipulation
EXPLORING DEEP SPATIO-TEMPORAL FUSION ARCHITECTURES TOWARDS LATE TEMPORAL MODELING OF HUMAN ACTION RECOGNITION
Quantifying and mitigating class imbalance in long-tailed visual recognition
Urban scale prediction of indoor daylighting illumination for sustainable buildings
Peak-aware traffic prediction with deep learning models and a driver simulation method with probabilistic hybrid automaton
Mitigating class imbalance in long-tailed visual recognition through the use of intrinsic dimensionality
Occupancy modeling using population statistics and machine learning in the residential built environment
Correlation loss: Enforcing correlation between classification and localization in object detection
A Thorough Analysis of Unsupervised Depth and Ego-motion Estimation
Hand crafted versus learned representations for audio event recognition
An extensive analysis on oriented object detection
Learning to assemble furniture from their 2D drawings
Towards Uncertainty-Aware Disentangled Representations
A crowd-aware and self-supervised approach for object detection in wide area motion imagery
On calibrating deep object detectors
Object augmentation for out-of-context object recognition
An Analysis on the Effect of Dynamic Range on Object Detection with Deep Neural Networks
Training Object Detectors by Directly Optimizing LRP Metric
Text Generation and Comprehension for Objects in Images and Videos