Camouflaged Object Segmentation

12 papers with code • 2 benchmarks • 2 datasets

Camouflaged object segmentation (COS) or Camouflaged object detection (COD), which was originally promoted by T.-N. Le et al. (2017), aims to identify objects that conceal their texture into the surrounding environment. The high intrinsic similarities between the target object and the background make COS/COD far more challenging than the traditional object segmentation task. Also, refer to the online benchmarks on CAMO dataset, COD dataset, and online demo.

( Image source: Anabranch Network for Camouflaged Object Segmentation )

Most implemented papers

EGNet: Edge Guidance Network for Salient Object Detection

JXingZhao/EGNet ICCV 2019

In the second step, we integrate the local edge information and global location information to obtain the salient edge features.

PraNet: Parallel Reverse Attention Network for Polyp Segmentation

DengPingFan/PraNet 13 Jun 2020

To address these challenges, we propose a parallel reverse attention network (PraNet) for accurate polyp segmentation in colonoscopy images.

Boundary-Aware Segmentation Network for Mobile and Web Applications

NathanUA/BASNet 12 Jan 2021

In this paper, we propose a simple yet powerful Boundary-Aware Segmentation Network (BASNet), which comprises a predict-refine architecture and a hybrid loss, for highly accurate image segmentation.

BASNet: Boundary-Aware Salient Object Detection

NathanUA/BASNet CVPR 2019

In this paper, we propose a predict-refine architecture, BASNet, and a new hybrid loss for Boundary-Aware Salient object detection.

Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images

HzFu/COVID19_imaging_AI_paper_list 22 Apr 2020

Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis.

Camouflaged Object Detection

DengPingFan/SINet CVPR 2020

We present a comprehensive study on a new task named camouflaged object detection (COD), which aims to identify objects that are "seamlessly" embedded in their surroundings.

Anabranch Network for Camouflaged Object Segmentation

ltnghia/CAMO Computer Vision and Image Understanding 2019

Different from existing networks for segmentation, our proposed network possesses the second branch for classification to predict the probability of containing camouflaged object(s) in an image, which is then fused into the main branch for segmentation to boost up the segmentation accuracy.

007: Democratically Finding The Cause of Packet Drops

behnazak/Vigil-007SourceCode 20 Feb 2018

Network failures continue to plague datacenter operators as their symptoms may not have direct correlation with where or why they occur.

Cascaded Partial Decoder for Fast and Accurate Salient Object Detection

wuzhe71/CPD CVPR 2019

In this paper, we propose a novel Cascaded Partial Decoder (CPD) framework for fast and accurate salient object detection.

Concealed Object Detection

GewelsJI/SINet-V2 20 Feb 2021

We present the first systematic study on concealed object detection (COD), which aims to identify objects that are "perfectly" embedded in their background.