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Instance Segmentation

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하위 태스크: 17
평가표: 36
보존된 평가 기록: 338

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/wvangansbeke/Revisiting-Contrastive-SSL

공식 코드

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations

https://github.com/xck36/GMIS

공식 코드

Affinity Derivation and Graph Merge for Instance Segmentation

https://github.com/xheon/panoptic-reconstruction

공식 코드

Panoptic 3D Scene Reconstruction From a Single RGB Image

https://github.com/xieenze/PolarMask

공식 코드

PolarMask: Single Shot Instance Segmentation with Polar Representation

https://github.com/xingyizhou/UniDet

공식 코드

Simple multi-dataset detection

https://github.com/xinliu20/mec

공식 코드

Self-Supervised Learning via Maximum Entropy Coding

https://github.com/xq141839/nusegdg

공식 코드

NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation

https://github.com/xulabs/aitom

공식 코드

Training-free CryoET Tomogram Segmentation

https://github.com/xvjiarui/GCNet

공식 코드

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

https://github.com/xwmaxwma/tinyvim

공식 코드

TinyViM: Frequency Decoupling for Tiny Hybrid Vision Mamba

https://github.com/xxm19/jacobinerf

공식 코드

JacobiNeRF: NeRF Shaping with Mutual Information Gradients

https://github.com/xyjbaal/FPCC

공식 코드

FPCC: Fast Point Cloud Clustering based Instance Segmentation for Industrial Bin-picking

https://github.com/yancie-yjr/scd.github.io/blob/main/index.md

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SCD: A Stacked Carton Dataset for Detection and Segmentation

https://github.com/yanfengliu/layered_embeddings

공식 코드

Layered Embeddings for Amodal Instance Segmentation

https://github.com/yangr116/boxsnake

공식 코드

BoxSnake: Polygonal Instance Segmentation with Box Supervision

https://github.com/yangsenius/ssa

공식 코드

Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association

https://github.com/yangxue0827/h2rbox-jittor

공식 코드

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangxue0827/h2rbox-mmrotate

공식 코드

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

https://github.com/yangyanli/PointCNN

공식 코드

PointCNN: Convolution On $\mathcal{X}$-Transformed Points

https://github.com/yashbhalgat/contrastive-lift

공식 코드

Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion

https://github.com/yehli/imagenetmodel

공식 코드

Contextual Transformer Networks for Visual Recognition

https://github.com/yeliudev/catnet

공식 코드

Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images

https://github.com/yformer/EfficientSAM

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EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

https://github.com/yifeiyin04/Hi4D

공식 코드

Hi4D: 4D Instance Segmentation of Close Human Interaction

https://github.com/yihongsun/bayesian-amodal

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Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model

https://github.com/yihongsun/mod-uv

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MOD-UV: Learning Mobile Object Detectors from Unlabeled Videos

https://github.com/yijingru/KG_Instance_Segmentation

공식 코드

Multi-scale Cell Instance Segmentation with Keypoint Graph based Bounding Boxes

https://github.com/yijingru/ObjGuided-Instance-Segmentation

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Object-Guided Instance Segmentation With Auxiliary Feature Refinement for Biological Images

https://github.com/yilinliu610730/eoe

공식 코드

Eosinophils Instance Object Segmentation on Whole Slide Imaging Using Multi-label Circle Representation

https://github.com/yinghdb/EmbedMask

공식 코드

EmbedMask: Embedding Coupling for One-stage Instance Segmentation

https://github.com/yingkaining/isda

공식 코드

ISDA: Position-Aware Instance Segmentation with Deformable Attention

https://github.com/yizhenlao/fec

공식 코드

FEC: Fast Euclidean Clustering for Point Cloud Segmentation

https://github.com/yjingyu/instanc_segmentation_pro

공식 코드

Strong Instance Segmentation Pipeline for MMSports Challenge

https://github.com/yoctta/xpaste

공식 코드

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

https://github.com/yongliu20/UniLSeg

공식 코드

Universal Segmentation at Arbitrary Granularity with Language Instruction

https://github.com/yoshitomo-matsubara/torchdistill

공식 코드

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

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