sbelharbi

deep-active-learning-for-joint-classification-and-segmentation-with-weak-annotator

Pytorch code for the paper "Deep Active Learning for Joint Classification and Segmentation with Weak Annotator"

deep-wsl-histo-min-max-uncertainty

Pytorch code for the paper "Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty".

wsol-min-max-entropy-interpretability

Pytorch code for: Min-max Entropy for Weakly Supervised Pointwise Localization

fcam-wsol

Pytorch implementation of F-CAM. Paper: "F-CAM: Full Resolution Class Activation Maps via Guided Parametric Upscaling".

learning-class-invariant-features

Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".

tcam-wsol-video

Pytorch code for paper "TCAM: Temporal Class Activation Maps for Object Localization in Weakly-Labeled Unconstrained Videos"

structured-output-ae

Repository for the code of the paper "Deep Neural Networks Regularization for Structured Output Prediction"

interpretable-fer-aus

Guided Interpretable Facial Expression Recognition via Spatial Action Unit Cues

negev

Pytorch implementation of NEGEV method. Paper: "Negative Evidence Matters in Interpretable Histology Image Classification".

Deep-Ordinal-Classification-with-Inequality-Constraints

Code for the paper `Non-parametric Uni-modality Constraints for Deep Ordinal Classification`.

colo-cam

Pytorch code for "CoLo-CAM: Class Activation Mapping for Object Co-Localization in Weakly-Labeled Unconstrained Videos"

doctorants-actifs.github.io

Official website of DOC-AC club. INSA de Rouen Normandie

sbelharbi.github.io

My personal website.

asso-added.github.io

Le site personnel.

Permutohedral_attention_module

sbelharbi

SynergyNet

3DV 2021: Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry