4 天前 - … ‘contrastive’ … learning visual representations from static image inputs. However,
as noted above, some of the early normative principles used to describe learning in early visual …

4 天前 - … Experimental results show that our proposed self-supervised model can effectively
learn visual representation information and achieve highly competitive performance …

4 天前 - … (CL), showing expertise in capturing overall representations while facing … the visual
representations for MLLMs by combining high-frequency and detailed visual representations…

5 天前 - … Contrastive Learning (CL) is a deep learning technique for unsupervised … for
contrastive learning of visual representations,” in International conference on machine learning. …

6 天前 - … CLIP (Contrastive Language–Image Pre-training), renowned for its rich visual and
linguistic … For global visual representations, we utilize the ViT-B/16 encoder from CLIP. The …

7 天前 - … a novel Contrastive Adversarial Genred … contrastive learning and adversarial
training techniques, enabling large language models to learn gender-neutral representations …

8 天前 - … specific representations with unlabeled data using self-supervised contrastive
learning. Finally, we make two grassland datasets publicly available for the community: (1) …

10 天前 - … explicitly integrate the overlooked local visual representations into the global feature,
… , and conduct contrastive learning between the ˆ𝑇𝑔𝑒𝑛 and the global visual and textual …

10 天前 - … Abstract: Decoding human visual representations from brain activity data is a …
synthesized representations and ground truth. We combine MB2C with contrastive learning to …

10 天前 - … In this paper, we have presented a graph contrastive learning method under the
common Gaussian assumption for node representations, which does not rely on any …