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Found 4 papers, 3 papers with code
CAMEL2: Enhancing weakly supervised learning for histopathology images by incorporating the significance ratio
Histopathology image analysis plays a crucial role in cancer diagnosis.
A Dual-Direction Attention Mixed Feature Network for Facial Expression Recognition
In recent years, facial expression recognition (FER) has garnered significant attention within the realm of computer vision research.
Ranked #2 on
Facial Expression Recognition (FER)
on AffectNet
Facial Expression Recognition
Facial Expression Recognition (FER)
+1
MACCIF-TDNN: Multi aspect aggregation of channel and context interdependence features in TDNN-based speaker verification
Most of the recent state-of-the-art results for speaker verification are achieved by X-vector and its subsequent variants.
CAMEL: A Weakly Supervised Learning Framework for Histopathology Image Segmentation
In this research, we propose CAMEL, a weakly supervised learning framework for histopathology image segmentation using only image-level labels.
