Papers with Code 아카이브

Segmentation

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/chen-du/De-fencing

공식 코드

Accurate and efficient video de-fencing using convolutional neural networks and temporal information

https://github.com/chen-yuiyui/geosegnet

공식 코드

GeoSegNet: Point Cloud Semantic Segmentation via Geometric Encoder-Decoder Modeling

https://github.com/chenastron/mtunet

공식 코드

A Multi-task Framework for Infrared Small Target Detection and Segmentation

https://github.com/chendelong1999/subobjects

공식 코드

Subobject-level Image Tokenization

https://github.com/chenfengxu714/SqueezeSegV3

공식 코드

SqueezeSegV3: Spatially-Adaptive Convolution for Efficient Point-Cloud Segmentation

https://github.com/cheng-01037/Self-supervised-Fewshot-Medical-Image-Segmentation

공식 코드

Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without Annotation

https://github.com/cheng-01037/causality-medical-image-domain-generalization

공식 코드

Causality-inspired Single-source Domain Generalization for Medical Image Segmentation

https://github.com/cheng-01037/probability_calibration_for_ood_mri_segmentation

공식 코드

Improved post-hoc probability calibration for out-of-domain MRI segmentation

https://github.com/chenglin-yang/lvt

공식 코드

Lite Vision Transformer with Enhanced Self-Attention

https://github.com/chengshiest/part2object

공식 코드

Part2Object: Hierarchical Unsupervised 3D Instance Segmentation

https://github.com/chengtao-lv/ptq4sam

공식 코드

PTQ4SAM: Post-Training Quantization for Segment Anything

https://github.com/chengyinlee/autoprosam_2024

공식 코드

AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation

https://github.com/chengyinlee/focalunetr

공식 코드

FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images

https://github.com/chengyinlee/mulmodseg_2024

공식 코드

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training

https://github.com/chenhaoxing/DiffusionInst

공식 코드

DiffusionInst: Diffusion Model for Instance Segmentation

https://github.com/chenhong-zhou/OM-Net

공식 코드

One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation

https://github.com/chenhong-zhou/krada

공식 코드

KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation

https://github.com/chenhongyiyang/gpvit

공식 코드

GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation

https://github.com/chenjzbuaa/satir

공식 코드

Learning to "Segment Anything" in Thermal Infrared Images through Knowledge Distillation with a Large Scale Dataset SATIR

https://github.com/chensnathan/SpatialFlow

공식 코드

SpatialFlow: Bridging All Tasks for Panoptic Segmentation

https://github.com/chenwydj/ultra_high_resolution_segmentation

공식 코드

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

https://github.com/chenxi116/TF-phrasecut-public

공식 코드

Recurrent Multimodal Interaction for Referring Image Segmentation

https://github.com/chenzhao2023/upmad_net_brainseg

공식 코드

UPMAD-Net: A Brain Tumor Segmentation Network with Uncertainty Guidance and Adaptive Multimodal Feature Fusion

https://github.com/chequanghuy/TwinLiteNet

공식 코드

TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars

https://github.com/chequanghuy/TwinLiteNetPlus

공식 코드

TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane Segmentation

https://github.com/cherise215/CardiacMRSegmentation

공식 코드

Improving the generalizability of convolutional neural network-based segmentation on CMR images

https://github.com/cherise215/Cooperative_Training_and_Latent_Space_Data_Augmentation

공식 코드

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

https://github.com/cherise215/advchain

공식 코드

Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation

https://github.com/cherise215/atria_segmentation_2018

공식 코드

Multi-Task Learning for Left Atrial Segmentation on GE-MRI

https://github.com/chevalierNoir/asl-iter-attn

공식 코드

Fingerspelling recognition in the wild with iterative visual attention

https://github.com/chiara-mauri/claustrum_segmentation

공식 코드

A Contrast-Agnostic Method for Ultra-High Resolution Claustrum Segmentation

https://github.com/chikap421/mseg_vcuq

공식 코드

MSEG-VCUQ: Multimodal SEGmentation with Enhanced Vision Foundation Models, Convolutional Neural Networks, and Uncertainty Quantification for High-Speed Video Phase Detection Data

https://github.com/chikap421/videosam

공식 코드

VideoSAM: A Large Vision Foundation Model for High-Speed Video Segmentation

https://github.com/chinayi/asformer

공식 코드

ASFormer: Transformer for Action Segmentation

https://github.com/chma1024/densepass

공식 코드

DensePASS: Dense Panoramic Semantic Segmentation via Unsupervised Domain Adaptation with Attention-Augmented Context Exchange

https://github.com/chohoonhee/ev-wsss

공식 코드

Finding Meaning in Points: Weakly Supervised Semantic Segmentation for Event Cameras

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