Instance Segmentation
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- 평가표
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Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.
Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zejiangh/Filter-GaP
https://github.com/zengzhaoyang/mymmdet
https://github.com/zengzhaoyang/trident
https://github.com/zgzxy001/MSNET
https://github.com/zhangbo2008/swin-transformer_noted_very_detail
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/zhangchi9/Airbus_Ship_Detection
https://github.com/zhanggefan/mmdet-yolov4
https://github.com/zhanghang1989/PyTorch-Encoding
https://github.com/zhanghang1989/detectron2-ResNeSt
https://github.com/zhangzilongc/sofs
VISION Datasets: A Benchmark for Vision-based InduStrial InspectiON
https://github.com/zhaoyang97/mmdetection
https://github.com/zhaozhijie1997/Unifed-Lane-and-Traffic-Sign-detection
https://github.com/zhaozhongch/yolact_ros
https://github.com/zhaozsq/airway_segmentation
https://github.com/zhawhjw/yolact-interpret
https://github.com/zhengzhe97/yolactpaddle
https://github.com/zhhchen4njit/yolact
https://github.com/zhihaozhang97/ru-ai
https://github.com/zhixuan-lin/IODINE
Multi-Object Representation Learning with Iterative Variational Inference
https://github.com/zhong110020/py-faster-rcnn
https://github.com/zhouhing/Mself_mmdetection
https://github.com/zhubinQAQ/Ins
https://github.com/zhuhongwei1999/bsa-net
https://github.com/zhuoyang125/CenterMask2
https://github.com/zhusiling/GCNet
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
https://github.com/ziming-liu/ObjectDet
https://github.com/zlf1993/cy
https://github.com/zqcrafts/Labserve
https://github.com/zsef123/PointRend-PyTorch
https://github.com/zwl-max/underwater-detection
https://github.com/zymk9/Yet-Another-Anime-Segmenter
https://github.com/zzangjinsun/NLSPN_ECCV20
https://github.com/zzdxfei/defor_conv_mxnet_code
https://github.com/zzl-pointcloud/Data_Augmentation_Zoo_for_Object_Detection
https://github.com/zzq96/mmdetection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.