Recently, large-scale pre-trained Vision and Language (VL) models have s...
Large scale Vision-Language (VL) models have shown tremendous success in...
Although action recognition systems can achieve top performance when
eva...
Test-Time-Training (TTT) is an approach to cope with out-of-distribution...
We propose MATE, the first Test-Time-Training (TTT) method designed for ...
Many biological and medical tasks require the delineation of 3D curvilin...
Deep learning-based approaches to delineating 3D structure depend on acc...
Persistent Homologies have been successfully used to increase the perfor...
We propose a novel, connectivity-oriented loss function for training dee...
Most state-of-the-art approaches to road extraction from aerial images r...
Existing performance measures rank delineation algorithms inconsistently...
Detection of curvilinear structures in images has long been of interest....
The difficulty of obtaining annotations to build training databases stil...
Delineation of curvilinear structures is an important problem in Compute...
We propose a method for semi-supervised training of structured-output ne...