Papers with Code 아카이브
Instance Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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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/juglab/EmbedSeg
공식 코드https://github.com/jun-long-li/tcovis
공식 코드TCOVIS: Temporally Consistent Online Video Instance Segmentation
https://github.com/junchen14/LoMaR
공식 코드Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction
https://github.com/junjiehe96/fastinst
공식 코드FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation
https://github.com/junlinguo/cellpose-inference-gpu
공식 코드Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology
https://github.com/junlinguo/cellvit-kidney
공식 코드Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology
https://github.com/junlinguo/stardist-inference-gpu
공식 코드Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology
https://github.com/justliulong/oghfyolo
공식 코드https://github.com/justlovesmile/sisp
공식 코드https://github.com/jzwu48033552/betrayed-by-captions
공식 코드https://github.com/kailasdayanandan/dual_thinking
공식 코드https://github.com/kainingying/ctvis
공식 코드CTVIS: Consistent Training for Online Video Instance Segmentation
https://github.com/kaiseem/pointnu-net
공식 코드https://github.com/kanji95/SHNET
공식 코드Comprehensive Multi-Modal Interactions for Referring Image Segmentation
https://github.com/kaopanboonyuen/mars
공식 코드MARS: Mask Attention Refinement with Sequential Quadtree Nodes for Car Damage Instance Segmentation
https://github.com/karazijal/clevrtex-generation
공식 코드ClevrTex: A Texture-Rich Benchmark for Unsupervised Multi-Object Segmentation
https://github.com/katiajdl/centerdisks
공식 코드CenterDisks: Real-time instance segmentation with disk covering
https://github.com/katiajdl/centerpoly-v2
공식 코드Real-time instance segmentation with polygons using an Intersection-over-Union loss
https://github.com/kdexd/virtex
공식 코드VirTex: Learning Visual Representations from Textual Annotations
https://github.com/kemaloksuz/LRP-Error
공식 코드https://github.com/kemaloksuz/RankSortLoss
공식 코드Rank & Sort Loss for Object Detection and Instance Segmentation
https://github.com/kemaloksuz/mask-aware-iou
공식 코드Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation
https://github.com/kevin-ssy/ViP
공식 코드Visual Parser: Representing Part-whole Hierarchies with Transformers
https://github.com/keyu-tian/spark
공식 코드Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling
https://github.com/kfoysalhaque/sawec
공식 코드https://github.com/kienduynguyen/boxer
공식 코드https://github.com/kimhanjung/visage
공식 코드VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement
https://github.com/kishansharma3012/HistoNet
공식 코드https://github.com/kkakkkka/etris
공식 코드Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation
https://github.com/kkallidromitis/r2o
공식 코드Refine and Represent: Region-to-Object Representation Learning
https://github.com/kmaag/Temporal-False-Negative-Reduction
공식 코드False Negative Reduction in Video Instance Segmentation using Uncertainty Estimates
https://github.com/kmaag/Temporal-Uncertainty-Estimates
공식 코드Improving Video Instance Segmentation by Light-weight Temporal Uncertainty Estimates
https://github.com/kodenii/ref-diff
공식 코드Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
https://github.com/kormachine/partstad
공식 코드https://github.com/kostas1515/FRACAL
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.