Methods › Computer Vision › Region Proposal › DeepMask

DeepMask

6 papers tagged archive 2025-07-28

Introduced by Tianshui Chen et al. in Learning to Segment Object Candidates via Recursive Neural Networks

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

DeepMask is an object proposal algorithm based on a convolutional neural network. Given an input image patch, DeepMask generates a class-agnostic mask and an associated score which estimates the likelihood of the patch fully containing a centered object (without any notion of an object category). The core of the model is a ConvNet which jointly predicts the mask and the object score. A large part of the network is shared between those two tasks: only the last few network layers are specialized for separately outputting a mask and score prediction.

PaperSource

Papers archive 2025-07-28

6 shown of 6, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

12 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Object3
Semantic Segmentation3
Instance Segmentation2
Object Detection2
object-detection2
Cloud Detection1
Object Proposal Generation1
Optical Flow Estimation1
Position1
Segmentation1
Shadow Detection1
Transfer Learning1

Usage over time archive 2025-07-28

Papers per year tagged with DeepMask: 2016 to 2020, peak 4 4 0 2016: 4 papers 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 1 paper 2019 2020: 1 paper 2020
Papers per year the archive tags with this method, by the paper's archive date (6 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Region Proposal

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