Papers with Code 아카이브
Instance Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
- 36
- 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/TejasBajania/Mtech_thesis_project
https://github.com/TengFeiHan0/Instance-Wise-Depth
EmbedMask: Embedding Coupling for One-stage Instance Segmentation
https://github.com/The-AI-Summer/self_attention
https://github.com/ThomasEhling/Weight_Standardization
Micro-Batch Training with Batch-Channel Normalization and Weight Standardization
https://github.com/TimVerion/lanenet-lane-detection-master
Towards End-to-End Lane Detection: an Instance Segmentation Approach
https://github.com/Tony607/mmdetection
https://github.com/Traffic-X/ViT-CoMer
https://github.com/TranThienDat-Nguyen/VisionEvaluation
https://github.com/TuSimple/mx-maskrcnn
https://github.com/UBC-Computer-Vision-Group/DwNet
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/UESTC-Liuxin/mmdetection
https://github.com/UPCLJ/py-faster-rcnn
https://github.com/USTC-IMCL/HST-for-Compressed-SR
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/UdbhavPrasad072300/GANs-Implementations
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
https://github.com/UdonDa/3D-UNet-PyTorch
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/UsmannK/cloud-mmdetection
https://github.com/V3Det/mmdetection-V3Det
RTMDet: An Empirical Study of Designing Real-Time Object Detectors
https://github.com/VICO-UoE/KD4MTL
https://github.com/VcampSoldiers/Swin-Transformer-Tensorflow
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/VernicaJ/Volumetric-Segmentation
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/ViTAE-Transformer/ViTDet
Exploring Plain Vision Transformer Backbones for Object Detection
https://github.com/Vill-Lab/2022-TIP-HCGA
Deep High-Resolution Representation Learning for Human Pose Estimation
https://github.com/Vishal-V/tf-models
https://github.com/Visual-Attention-Network/VAN-Jittor
https://github.com/Visual-Attention-Network/VAN-Segmentation
https://github.com/WXinlong/DenseCL
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
https://github.com/WangFeng18/Swin-Transformer
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/WangY0906/mmdetection-for-study
https://github.com/WaterScenes/Awesome-Water-Surface-Perception
https://github.com/WavesUR/embedded_TSM
https://github.com/Wei-Mao/Panoptic-Lintention-Net
Panoptic Lintention Network: Towards Efficient Navigational Perception for the Visually Impaired
https://github.com/Wizaron/instance-segmentation-pytorch
Semantic Instance Segmentation with a Discriminative Loss Function
https://github.com/XXXVincent/SOLO
https://github.com/XiangbingJi/Stanford-cs230-final-project
Towards End-to-End Lane Detection: an Instance Segmentation Approach
https://github.com/Xunpeng746/ACMo
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.