Few-Shot Segmentation (FSS) aims to segment the novel class images with ...
In this paper, we propose a simple yet effective transformer framework f...
Gait recognition, which aims at identifying individuals by their walking...
Gait is one of the most promising biometrics that aims to identify
pedes...
Few-Shot Segmentation (FSS) is challenging for limited support images an...
Zero-Shot Learning (ZSL) aims at recognizing unseen categories using som...
Zero-Shot Classification (ZSC) equips the learned model with the ability...
Existing generative Zero-Shot Learning (ZSL) methods only consider the
u...
Zero-Shot Learning (ZSL) is achieved via aligning the semantic relations...
Zero-Shot Hashing aims at learning a hashing model that is trained only ...
Zero-Shot Learning (ZSL) is typically achieved by resorting to a class
s...
Zero-shot learning (ZSL) endows the computer vision system with the
infe...
As an important and challenging problem in computer vision, zero-shot
le...