Papers with Code 아카이브
Camouflaged Object Segmentation
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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.
<span style="color:grey; opacity: 0.6">( Image source: Anabranch Network for Camouflaged Object Segmentation )</span>
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ltnghia/CAMO
https://github.com/marccoru/marinedebrisdetector
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/mfp0610/semantic-segmentaion
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/mindspore-ai/models/tree/master/research/cv/EGnet
https://github.com/mrgiovanni/dissertation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/nifangbaage/explict-visual-prompt
Explicit Visual Prompting for Universal Foreground Segmentations
https://github.com/nnzzll/networks
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/qubvel/segmentation_models.pytorch
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/sauravmishra1710/UNet-Plus-Plus---Brain-Tumor-Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/shruti-jadon/Semantic-Segmentation-Loss-Functions
Boundary-Aware Segmentation Network for Mobile and Web Applications
https://github.com/sjosias/Tsetse-Flies
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/thograce/bgnet
Context-aware Cross-level Fusion Network for Camouflaged Object Detection
https://github.com/tuvovan/Unet-with-EfficientnetB7-Backbone
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/xuebinqin/BASNet
Boundary-Aware Segmentation Network for Mobile and Web Applications
https://github.com/xueliancheng/slt-net
Implicit Motion Handling for Video Camouflaged Object Detection
https://github.com/yangyucheng000/Egnet
https://github.com/yangyucheng000/MSpaper/tree/main/UNet3%2B
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/yingkaisha/keras-unet-collection
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
https://github.com/yuwenlo/hardnet-dfus
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.