https://github.com/2023-MindSpore-4/Code14/tree/main/retinanet_resnet101
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
Papers with Code 아카이브
Instance Segmentation
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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/2023-MindSpore-4/Code14/tree/main/retinanet_resnet152
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
https://github.com/2023-MindSpore-4/Code6/tree/main/ResNeSt50
https://github.com/2023-MindSpore-4/Code9/tree/main/MaskRCNN
https://github.com/2023-MindSpore-4/Code9/tree/main/RetinaNet
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization
https://github.com/2024-MindSpore-1/Code2/tree/main/model-1/clipseg
https://github.com/2024-MindSpore-1/Code3/tree/main/ResNet18
https://github.com/2024-MindSpore-1/Code4/tree/main/FasterRCNN
Segmenting Unknown 3D Objects from Real Depth Images using Mask R-CNN Trained on Synthetic Data
https://github.com/2anchao/VovJpu
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
https://github.com/3dlg-hcvc/M3DRef-CLIP
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
https://github.com/3dperceptionlab/visual-wetlandbirds
MViTv2: Improved Multiscale Vision Transformers for Classification and Detection
https://github.com/4uiiurz1/pytorch-deform-conv-v2
https://github.com/5m0k3/gwd-efficientdet-pytorch
https://github.com/5m0k3/gwd-yolov5-pytorch
https://github.com/96jonesa/StyleGan2-Colab-Demo
https://github.com/AKASH2907/bird-species-classification
https://github.com/AKASH2907/bird_species_classification
https://github.com/ALBERT-Inc/blog_ssap
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid
https://github.com/AbangLZU/lanenet-lane-detection-py2
Towards End-to-End Lane Detection: an Instance Segmentation Approach
https://github.com/Abhijeet8901/Instance-Segmentation-using-YOLACT
https://github.com/AbhinavAtrishi/semisupervised-multitask-learning
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation
https://github.com/Adrian398/CB-Net-EDD
CBNet: A Novel Composite Backbone Network Architecture for Object Detection
https://github.com/AghdamAmir/3D-UNet
3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation
https://github.com/Ahmad-Omar-Ahsan/CycleMLP
https://github.com/AhsanAliLodhi/curriculum_learning_blenderproc
https://github.com/AiLvv/mmdetection
https://github.com/AirBernard/Scene-Text-Detection-with-SPCNET
Scene Text Detection with Supervised Pyramid Context Network
https://github.com/AleDella/mdter_eval
MDETR -- Modulated Detection for End-to-End Multi-Modal Understanding
https://github.com/Alexander-Whelan/Zeus
https://github.com/AllenPeng0209/SaccadeNet
https://github.com/Anchoret13/blenderset
https://github.com/AndrzejMiskow/FER-with-Attention-and-Objective-Activation-Functions
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
https://github.com/Anirudh0707/Roads-and-Building-Segmentation
iSAID: A Large-scale Dataset for Instance Segmentation in Aerial Images
https://github.com/AnnabelChen51/CellTrack-R-CNN
https://github.com/AntixK/PyTorch-Model-Compare
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/AnudeepKonda/MIMII_anamoly_detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.