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Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
The Places365-CNNs for Scene Classification
Source code for the LabelMe annotation tool.
Eye Tracking for Everyone
Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.
Development kit for MIT Scene Parsing Benchmark
Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing
Light version of Network Dissection for Quantifying Interpretability of Networks
The Toolkit for Places Challenge 2017
MATLAB Toolbox for the LabelMe Image Database
MiniPlaces Challenge: an Educational Tool for Deep Learning in Computer Vision
IBD: Interpretable Basis Decomposition for Visual Explanation
Toolbox for interfacing LabelMe with Mechanical Turk
A tool to visualize feature spaces commonly used in object detection.