In this work, we construct a large-scale dataset for Ground-to-Aerial Pe...
Unsupervised learning visible-infrared person re-identification (USL-VI-...
Unsupervised visible-infrared person re-identification (USL-VI-ReID) aim...
Due to the lack of temporal annotation, current Weakly-supervised Tempor...
Weakly Supervised Temporal Action Localization (WTAL) aims to classify a...
Unsupervised person re-identification (ReID) aims at learning discrimina...
With the emergence of large pre-trained vison-language model like CLIP,
...
In label-noise learning, estimating the transition matrix has attracted ...
Single image dehazing as a fundamental low-level vision task, is essenti...
Zero-shot learning (ZSL) aims to learn models that can recognize unseen ...
Zero-shot object detection aims at incorporating class semantic vectors ...
Unsupervised person re-identification (Re-Id) has attracted increasing
a...
Single image dehazing is a prerequisite which affects the performance of...
Current approaches for video grounding propose kinds of complex architec...
Learning the distance metric between pairs of examples is of great impor...