Weakly-Supervised Semantic Segmentation
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
State-of-the-art leaderboards
Greatest papers with code
Spatio-temporal video autoencoder with differentiable memory
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
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- 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
• meng-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
• arslan-chaudhry/dcsp_segmentation
• 
We propose an approach to discover class-specific pixels for the weakly-supervised semantic segmentation task.
Convolutional Simplex Projection Network (CSPN) for Weakly Supervised Semantic Segmentation
Weakly supervised semantic segmentation has been a subject of increased interest due to the scarcity of fully annotated images.
Learning to Exploit the Prior Network Knowledge for Weakly-Supervised Semantic Segmentation
• gramuah/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.