MIT CSAIL Computer Vision (CSAILVision)

MIT CSAIL Computer Vision

CSAILVision

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Location:Cambridge, MA

Home Page:http://groups.csail.mit.edu/vision/welcome/

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MIT CSAIL Computer Vision's repositories

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

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gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

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places365

The Places365-CNNs for Scene Classification

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LabelMeAnnotationTool

Source code for the LabelMe annotation tool.

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GazeCapture

Eye Tracking for Everyone

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NetDissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

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sceneparsing

Development kit for MIT Scene Parsing Benchmark

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unifiedparsing

Codebase and pretrained models for ECCV'18 Unified Perceptual Parsing

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NetDissect-Lite

Light version of Network Dissection for Quantifying Interpretability of Networks

placeschallenge

The Toolkit for Places Challenge 2017

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LabelMeToolbox

MATLAB Toolbox for the LabelMe Image Database

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ADE20K

ADE20K Dataset

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miniplaces

MiniPlaces Challenge: an Educational Tool for Deep Learning in Computer Vision

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IBD

IBD: Interpretable Basis Decomposition for Visual Explanation

LabelMeMechanicalTurk

Toolbox for interfacing LabelMe with Mechanical Turk

ihog

A tool to visualize feature spaces commonly used in object detection.

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