Papers with Code 아카이브

2D Semantic Segmentation

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하위 태스크

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평가표

11

보존된 평가 기록

42

코드

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

https://github.com/princeton-computational-imaging/DirtyPixels

공식 코드

Dirty Pixels: Towards End-to-End Image Processing and Perception

https://github.com/princetonvisualai/imagenet-face-obfuscation

공식 코드

A Study of Face Obfuscation in ImageNet

https://github.com/prismformore/InvPT

공식 코드

InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding

https://github.com/prismformore/multi-task-transformer

공식 코드

InvPT++: Inverted Pyramid Multi-Task Transformer for Visual Scene Understanding

https://github.com/prlab21/maxvit-unet

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MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation

https://github.com/probcomp/threedp3

공식 코드

3DP3: 3D Scene Perception via Probabilistic Programming

https://github.com/programmerhyy/cm-mlp

공식 코드

CM-MLP: Cascade Multi-scale MLP with Axial Context Relation Encoder for Edge Segmentation of Medical Image

https://github.com/project-monai/research-contributions

공식 코드

UNetFormer: A Unified Vision Transformer Model and Pre-Training Framework for 3D Medical Image Segmentation

https://github.com/prowontheus/isd-mae

공식 코드

Intensity-Spatial Dual Masked Autoencoder for Multi-Scale Feature Learning in Chest CT Segmentation

https://github.com/prs-eth/marigold

공식 코드

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

https://github.com/pubgeo/cmmh_segmentation

공식 코드

Improved Image Segmentation via Cost Minimization of Multiple Hypotheses

https://github.com/public-bots/gaussianpretrain

공식 코드

GaussianPretrain: A Simple Unified 3D Gaussian Representation for Visual Pre-training in Autonomous Driving

https://github.com/purduedualitylab/tf-maskformer

공식 코드

A Partial Replication of MaskFormer in TensorFlow on TPUs for the TensorFlow Model Garden

https://github.com/purmavishnuvardhanreddy/genselfdiff-his

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GenSelfDiff-HIS: Generative Self-Supervision Using Diffusion for Histopathological Image Segmentation

https://github.com/pycroscopy/atomai

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AtomAI: A Deep Learning Framework for Analysis of Image and Spectroscopy Data in (Scanning) Transmission Electron Microscopy and Beyond

https://github.com/qcao10/DamageDetection

공식 코드

Building Damage Annotation on Post-Hurricane Satellite Imagery Based on Convolutional Neural Networks

https://github.com/qd-seg/quickdraw

공식 코드

QuickDraw: Fast Visualization, Analysis and Active Learning for Medical Image Segmentation

https://github.com/qianyu-dlut/mvanet

공식 코드

Multi-view Aggregation Network for Dichotomous Image Segmentation

https://github.com/qimingfan10/SAM-VMNet

공식 코드

A Deep Learning Model for Coronary Artery Segmentation and Quantitative Stenosis Detection in Angiographic Images

https://github.com/qintianjian-lab/ras4dg

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Medical Image Segmentation via Single-Source Domain Generalization with Random Amplitude Spectrum Synthesis

https://github.com/qiukunpeng/siamese-diffusion

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Noise-Consistent Siamese-Diffusion for Medical Image Synthesis and Segmentation

https://github.com/qiumuyang/siab

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The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation

https://github.com/qiurui4shu/PIG

공식 코드

PIG: Prompt Images Guidance for Night-Time Scene Parsing

https://github.com/qncsn2016/TR2

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Cross-Modality Time-Variant Relation Learning for Generating Dynamic Scene Graphs

https://github.com/qqlu/Entity/tree/main/Entityv2

공식 코드

High-Quality Entity Segmentation

https://github.com/qqqyd/visu

공식 코드

Boosting Semi-Supervised Scene Text Recognition via Viewing and Summarizing

https://github.com/qrzou/ILSGAN

공식 코드

ILSGAN: Independent Layer Synthesis for Unsupervised Foreground-Background Segmentation

https://github.com/quaife/FDV_Data

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Fire Dynamic Vision: Image Segmentation and Tracking for Multi-Scale Fire and Plume Behavior

https://github.com/qwtforgithub/cdsegnet

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An End-to-End Robust Point Cloud Semantic Segmentation Network with Single-Step Conditional Diffusion Models

https://github.com/qybc/scribble2d5

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Scribble2D5: Weakly-Supervised Volumetric Image Segmentation via Scribble Annotations

https://github.com/r-seny/narrativexl

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NarrativeXL: A Large-scale Dataset For Long-Term Memory Models

https://github.com/rachtsy/kpca_code

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Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis

https://github.com/rafa-cxg/PySGG-cxg

공식 코드

Biasing Like Human: A Cognitive Bias Framework for Scene Graph Generation

https://github.com/rafiibnsultan/bipvl-seg

공식 코드

BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation

https://github.com/rafiibnsultan/geosam

공식 코드

GeoSAM: Fine-tuning SAM with Multi-Modal Prompts for Mobility Infrastructure Segmentation

https://github.com/raghavian/cFlow

공식 코드

Uncertainty quantification in medical image segmentation with normalizing flows

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