Papers with Code 아카이브
Instance Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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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/henghuiding/grefcoco
https://github.com/hhhhnwl/PointRend-simple-pytorch
https://github.com/hik-lab/ssod
End-to-End Semi-Supervised Object Detection with Soft Teacher
https://github.com/hikvision-research/SSOD
End-to-End Semi-Supervised Object Detection with Soft Teacher
https://github.com/hkust-aerial-robotics/sg-reg
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models
https://github.com/hkust-aerial-robotics/slabim
FM-Fusion: Instance-aware Semantic Mapping Boosted by Vision-Language Foundation Models
https://github.com/holdfire/CLS
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/holdfire/FAS
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/hololee/YOLACT
https://github.com/houssemjebari/Fruit-Detection
https://github.com/hq-jiang/instance-segmentation-with-discriminative-loss-tensorflow
Semantic Instance Segmentation with a Discriminative Loss Function
https://github.com/hqjenny/CoDeNet
https://github.com/hrhodin/NeuralSceneDecomposition
https://github.com/hrlblab/AFM_kidney_cells
Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology
https://github.com/huaimeng97/LaneNet
Towards End-to-End Lane Detection: an Instance Segmentation Approach
https://github.com/huggingface/transformers
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/hukefei/SOLO-master
https://github.com/hukefei/taobaolive
https://github.com/hula-ai/DAMA
Exploring Plain Vision Transformer Backbones for Object Detection
https://github.com/huster-hq/monobox
Box-supervised Instance Segmentation with Level Set Evolution
https://github.com/huyz1117/Non_Local_Net_TensorFlow
https://github.com/hwang9u/hum2Guitar
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/hxdengBerkeley/PointCNN.Pytorch
https://github.com/hysshy/hyv9_mmdetection
https://github.com/hysts/pytorch_D-RISE
https://github.com/hyunahOh/instance_segmentation
https://github.com/hz-ants/Pose2Seg
https://github.com/hz-ants/mmdetection
https://github.com/hz-ants/yolact
https://github.com/ibaiGorordo/ONNX-YOLO-World-Open-Vocabulary-Object-Detection
https://github.com/idea-research/dab-detr
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation
https://github.com/idea-research/dn-detr
Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation
https://github.com/ihdia/instance-segmentation-v1
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts
https://github.com/imatge-upc/refvos
RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation
https://github.com/impiga/plain-detr
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.