Browse > Computer Vision > Semantic Segmentation > Weakly-Supervised Semantic Segmentation

Weakly-Supervised Semantic Segmentation

7 papers with code · Computer Vision

The semantic segmentation task is to assign a label from a label set to each pixel in an image. In the case of fully supervised setting, the dataset consists of images and their corresponding pixel-level class-specific annotations (expensive pixel-level annotations). However, in the weakly-supervised setting, the dataset consists of images and corresponding annotations that are relatively easy to obtain, such as tags/labels of objects present in the image

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Greatest papers with code

Spatio-temporal video autoencoder with differentiable memory

19 Nov 2015viorik/ConvLSTM

At each time step, the system receives as input a video frame, predicts the optical flow based on the current observation and the LSTM memory state as a dense transformation map, and applies it to the current frame to generate the next frame.

MOTION ESTIMATION OPTICAL FLOW ESTIMATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Weakly-Supervised Semantic Segmentation Network With Deep Seeded Region Growing

CVPR 2018 speedinghzl/DSRG

Inspired by the traditional image segmentation methods of seeded region growing, we propose to train a semantic segmentation network starting from the discriminative regions and progressively increase the pixel-level supervision using by seeded region growing.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Weakly- and Semi-Supervised Panoptic Segmentation

ECCV 2018 qizhuli/Weakly-Supervised-Panoptic-Segmentation

We present a weakly supervised model that jointly performs both semantic- and instance-segmentation -- a particularly relevant problem given the substantial cost of obtaining pixel-perfect annotation for these tasks.

INSTANCE SEGMENTATION PANOPTIC SEGMENTATION WEAKLY-SUPERVISED INSTANCE SEGMENTATION WEAKLY-SUPERVISED PANOPTIC SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Constrained-CNN losses for weakly supervised segmentation

12 May 2018meng-tang/rloss

To the best of our knowledge, the method of [Pathak et al., 2015] is the only prior work that addresses deep CNNs with linear constraints in weakly supervised segmentation.

MEDICAL IMAGE SEGMENTATION WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Discovering Class-Specific Pixels for Weakly-Supervised Semantic Segmentation

18 Jul 2017arslan-chaudhry/dcsp_segmentation

We propose an approach to discover class-specific pixels for the weakly-supervised semantic segmentation task.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation

24 Jul 2018briqr/CSPN

Weakly supervised semantic segmentation has been a subject of increased interest due to the scarcity of fully annotated images.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION

Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation

13 Apr 2018gramuah/weakly-supervised-segmentation

Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task.

WEAKLY-SUPERVISED SEMANTIC SEGMENTATION