18 citations · 72 across the 20 of their papers we have counts for
3 papers · 1 filter
OCFormer: One-Class Transformer Network for Image Classification
Prerana Mukherjee, Chandan Kumar Roy, Swalpa Kumar Roy
We propose a novel deep learning framework based on Vision Transformers (ViT) for one-class classification. The core idea is to use zero-centered Gaussian noise as a pseudo-negativ…
ASOC: Adaptive Self-aware Object Co-localization
Koteswar Rao Jerripothula, Prerana Mukherjee
The primary goal of this paper is to localize objects in a group of semantically similar images jointly, also known as the object co-localization problem. Most related existing wor…
MaskMTL: Attribute prediction in masked facial images with deep multitask learning
Prerana Mukherjee, Vinay Kaushik, Ronak Gupta +3
Predicting attributes in the landmark free facial images is itself a challenging task which gets further complicated when the face gets occluded due to the usage of masks. Smart ac…