Philip Chikontwe
6 papers · 2021–2024 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🚀
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(3)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Deep Learning
(2)
Architectures
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Analysis
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Techniques
(1)
Keywords
few-shot learning
(3)
metric learning
(1)
self-attention mechanism
(1)
transfer learning
(1)
anomaly detection
(1)
feature extraction
(1)
attention mechanism
(1)
medical image segmentation
(1)
image registration
(1)
recurrent neural network
(1)
few-shot segmentation
(1)
few-shot classification
(1)
gated recurrent unit
(1)
feature reweighting
(1)
part segmentation
(1)
industrial anomaly detection
(1)
metric-based learning
(1)
memory bank
(1)
episodic training
(1)
few-shot part segmentation
(1)
Papers
Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection
AAAI 2024
InstaSAM: Instance-aware Segment Any Nuclei Model with Point Annotations
MICCAI 2024
Low-Shot Prompt Tuning for Multiple Instance Learning based Histology Classification
MICCAI 2024
Subject-Adaptive Transfer Learning Using Resting State EEG Signals for Cross-Subject EEG Motor Imagery Classification
MICCAI 2024
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
CVPR 2022
Bidirectional RNN-based Few Shot Learning for 3D Medical Image Segmentation
AAAI 2021