https://github.com/mostafajahanifar/nuclick_torch
NuClick: A Deep Learning Framework for Interactive Segmentation of Microscopy Images
Papers with Code 아카이브
Instance Segmentation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 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/mpicbg-csbd/stardist
Nuclei instance segmentation and classification in histopathology images with StarDist
https://github.com/mrgiovanni/dissertation
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
https://github.com/mrvoh/meta_learning_multilingual_doc_classification
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
https://github.com/ms5898/LaneNet-PyTorch
Towards End-to-End Lane Detection: an Instance Segmentation Approach
https://github.com/mseg-dataset/mseg-api
MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
https://github.com/msracver/Deformable-ConvNets
https://github.com/msracver/FCIS
https://github.com/mstfakts/building-detection-maskrcnn
https://github.com/mtcld/mmdetection
https://github.com/mtli/sAP
https://github.com/mujiyantosvc/Facial-Expression-Recognition-FER-for-Mental-Health-Detection-
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/multimodallearning/pytorch-mask-rcnn
https://github.com/murufeng/awesome_lightweight_networks
HS-ResNet: Hierarchical-Split Block on Convolutional Neural Network
https://github.com/muyistarsky/MaskRCNN
https://github.com/mvpzhangqiu/SOLOV2
https://github.com/mzeromiko/vmamba
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/nachiket273/VisTrans
https://github.com/nachiket273/loss-tryout
PolyLoss: A Polynomial Expansion Perspective of Classification Loss Functions
https://github.com/nalbert9/Image-Captioning
https://github.com/nasir6/detection
https://github.com/nathanlem1/igae-net
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
https://github.com/naver-ai/coco-annotation-tool
https://github.com/nayanr/instance_segmentation
https://github.com/neilctwu/FCOS-pytorch_Simplified
An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection
https://github.com/nemonameless/mmkp
https://github.com/neptune-ai/open-solution-mapping-challenge
TernausNetV2: Fully Convolutional Network for Instance Segmentation
https://github.com/nerminsamet/houghnet-vid
HoughNet: Integrating near and long-range evidence for visual detection
https://github.com/nero1342/VATEX
https://github.com/new-okaerinasai/mmdetection
https://github.com/ngonhi/mmdetection
https://github.com/nick-nikzad/SATA
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
https://github.com/nicolas-chaulet/torch-points3d
https://github.com/nightrome/cocostuff10k
https://github.com/nihalsid/mask2former
Masked-attention Mask Transformer for Universal Image Segmentation
https://github.com/nikhilrayaprolu/food-version2
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.