Browse > Computer Vision > Semantic Segmentation

Semantic Segmentation

579 papers with code · Computer Vision

The idea of semantic segmentation is to recognize and understand what is in an image at the pixel-level.

State-of-the-art leaderboards

Trend Dataset Best Method Paper title Paper Code Compare

Greatest papers with code

Learning to Segment Every Thing

CVPR 2018 facebookresearch/detectron

Most methods for object instance segmentation require all training examples to be labeled with segmentation masks.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Video-to-Video Synthesis

NeurIPS 2018 NVIDIA/vid2vid

We study the problem of video-to-video synthesis, whose goal is to learn a mapping function from an input source video (e. g., a sequence of semantic segmentation masks) to an output photorealistic video that precisely depicts the content of the source video.

SEMANTIC SEGMENTATION VIDEO PREDICTION VIDEO-TO-VIDEO SYNTHESIS

Mask Scoring R-CNN

CVPR 2019 open-mmlab/mmdetection

In this paper, we study this problem and propose Mask Scoring R-CNN which contains a network block to learn the quality of the predicted instance masks.

INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Hybrid Task Cascade for Instance Segmentation

CVPR 2019 open-mmlab/mmdetection

In exploring a more effective approach, we find that the key to a successful instance segmentation cascade is to fully leverage the reciprocal relationship between detection and segmentation.

 SOTA for Instance Segmentation on COCO (using extra training data)

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

Deformable ConvNets v2: More Deformable, Better Results

CVPR 2019 open-mmlab/mmdetection

The superior performance of Deformable Convolutional Networks arises from its ability to adapt to the geometric variations of objects.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

Rethinking ImageNet Pre-training

21 Nov 2018tensorpack/tensorpack

We report competitive results on object detection and instance segmentation on the COCO dataset using standard models trained from random initialization.

INSTANCE SEGMENTATION OBJECT DETECTION SEMANTIC SEGMENTATION

Fully Convolutional Networks for Semantic Segmentation

CVPR 2015 pytorch/vision

Convolutional networks are powerful visual models that yield hierarchies of features.

REAL-TIME SEMANTIC SEGMENTATION SCENE SEGMENTATION

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

CVPR 2018 NVIDIA/pix2pixHD

We present a new method for synthesizing high-resolution photo-realistic images from semantic label maps using conditional generative adversarial networks (conditional GANs).

CONDITIONAL IMAGE GENERATION IMAGE-TO-IMAGE TRANSLATION INSTANCE SEGMENTATION SEMANTIC SEGMENTATION

Learning to Refine Object Segments

29 Mar 2016facebookresearch/deepmask

In this work we propose to augment feedforward nets for object segmentation with a novel top-down refinement approach.

SEMANTIC SEGMENTATION