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Found 5 papers, 1 papers with code
DIODE: Dilatable Incremental Object Detection
In this paper, we aim to alleviate this performance decay on multi-step incremental detection tasks by proposing a dilatable incremental object detector (DIODE).
Scalable Bayesian Deep Learning with Kernel Seed Networks
To address this problem we present a method for performing BDL, namely Kernel Seed Networks (KSN), which does not require a 2-fold increase in the number of parameters.
SID: Incremental Learning for Anchor-Free Object Detection via Selective and Inter-Related Distillation
Incremental learning requires a model to continually learn new tasks from streaming data.
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification
The difficulty of processing gigapixel whole slide images (WSIs) in clinical microscopy has been a long-standing barrier to implementing computer aided diagnostic systems.
CORAL8: Concurrent Object Regression for Area Localization in Medical Image Panels
This is because the system can ignore the attention mechanism by assigning equal weights for all members.
