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Weakly Supervised Object Detection

16 papers with code · Computer Vision
Subtask of Object Detection

Weakly Supervised Object Detection (WSOD) is the task of training object detectors with only image tag supervisions.

( Image credit: Soft Proposal Networks for Weakly Supervised Object Localization )

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Latest papers with code

Distilling Knowledge from Refinement in Multiple Instance Detection Networks

23 Apr 2020luiszeni/Boosted-OICR

Then, we present an adaptive supervision aggregation function that dynamically changes the aggregation criteria for selecting boxes related to one of the ground-truth classes, background, or even ignored during the generation of each refinement module supervision.

MULTIPLE INSTANCE LEARNING WEAKLY SUPERVISED OBJECT DETECTION WEAKLY-SUPERVISED OBJECT LOCALIZATION

14
23 Apr 2020

Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection

CVPR 2020 NVlabs/wetectron

Weakly supervised learning has emerged as a compelling tool for object detection by reducing the need for strong supervision during training.

VIDEO OBJECT DETECTION WEAKLY SUPERVISED OBJECT DETECTION

76
09 Apr 2020

Object Instance Mining for Weakly Supervised Object Detection

4 Feb 2020bigvideoresearch/OIM

Weakly supervised object detection (WSOD) using only image-level annotations has attracted growing attention over the past few years.

MULTIPLE INSTANCE LEARNING WEAKLY SUPERVISED OBJECT DETECTION

42
04 Feb 2020

C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

CVPR 2019 Winfrand/C-MIL

Weakly supervised object detection (WSOD) is a challenging task when provided with image category supervision but required to simultaneously learn object locations and object detectors.

MULTIPLE INSTANCE LEARNING WEAKLY SUPERVISED OBJECT DETECTION WEAKLY-SUPERVISED OBJECT LOCALIZATION

49
11 Apr 2019

Min-Entropy Latent Model for Weakly Supervised Object Detection

CVPR 2018 WinFrand/MELM

Weakly supervised object detection is a challenging task when provided with image category supervision but required to learn, at the same time, object locations and object detectors.

IMAGE CLASSIFICATION WEAKLY SUPERVISED OBJECT DETECTION WEAKLY-SUPERVISED OBJECT LOCALIZATION

32
16 Feb 2019

LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks

14 Nov 2018Bartzi/loans

Our student (localizer) is a model that learns to localize an object, the teacher (assessor) assesses the quality of the localization and provides feedback to the student.

WEAKLY SUPERVISED OBJECT DETECTION

12
14 Nov 2018

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection

9 Jul 2018ppengtang/oicr

The iterative instance classifier refinement is implemented online using multiple streams in convolutional neural networks, where the first is an MIL network and the others are for instance classifier refinement supervised by the preceding one.

MULTIPLE INSTANCE LEARNING OBJECT RECOGNITION WEAKLY SUPERVISED OBJECT DETECTION

183
09 Jul 2018