Papers with Code 아카이브

Semantic Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

29

평가표

150

보존된 평가 기록

1,918

코드

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

https://github.com/analytics-everywhere-lab/vqixai

공식 코드

XEdgeAI: A Human-centered Industrial Inspection Framework with Data-centric Explainable Edge AI Approach

https://github.com/anan0110692/geoai-foundgen

공식 코드

A Sensor Agnostic Domain Generalization Framework for Leveraging Geospatial Foundation Models: Enhancing Semantic Segmentation viaSynergistic Pseudo-Labeling and Generative Learning

https://github.com/anasibrahim/ctl_classification

공식 코드

Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic Grasping

https://github.com/andfoy/query-objseg

공식 코드

Dynamic Multimodal Instance Segmentation guided by natural language queries

https://github.com/andr345/frtm-vos

공식 코드

Learning Fast and Robust Target Models for Video Object Segmentation

https://github.com/andrade-miranda/girafe

공식 코드

GIRAFE: Glottal Imaging Dataset for Advanced Segmentation, Analysis, and Facilitative Playbacks Evaluation

https://github.com/andre-ye/confcontours-data

공식 코드

Confidence Contours: Uncertainty-Aware Annotation for Medical Semantic Segmentation

https://github.com/andrewcaunes/ia4markings

공식 코드

seg_3D_by_PC2D: Multi-View Projection for Domain Generalization and Adaptation in 3D Semantic Segmentation

https://github.com/andyj1/doubly-contrastive-semseg

공식 코드

Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving under Adverse Weather

https://github.com/aneesh3108/AeroRIT

공식 코드

AeroRIT: A New Scene for Hyperspectral Image Analysis

https://github.com/angadbajwa23/Segmentation-of-2D-Brain-MR-Images-using-Deep-Neural-Architectures

공식 코드

Segmentation of 2D Brain MR Images

https://github.com/angeloucn/min_max_similarity

공식 코드

Min-Max Similarity: A Contrastive Semi-Supervised Deep Learning Network for Surgical Tools Segmentation

https://github.com/angelvillar96/MCDS-VSS

공식 코드

MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation by Filtering with Self-Supervised Geometry and Motion

https://github.com/anguelos/tormentor

공식 코드

TorMentor: Deterministic dynamic-path, data augmentations with fractals

https://github.com/anguoyuan/pixel_retrieval-segmented_instance_retrieval

공식 코드

Towards Content-based Pixel Retrieval in Revisited Oxford and Paris

https://github.com/anheidelonghu/ACNet

공식 코드

ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation

https://github.com/anikat1/sam-material-gan

공식 코드

Adapting Segment Anything Model (SAM) to Experimental Datasets via Fine-Tuning on GAN-based Simulation: A Case Study in Additive Manufacturing

https://github.com/animaleyeq/cattleeyeview

공식 코드

CattleEyeView: A Multi-task Top-down View Cattle Dataset for Smarter Precision Livestock Farming

https://github.com/anion0278/hadr

공식 코드

HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments

https://github.com/anirudh-chakravarthy/objprop

공식 코드

Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation

https://github.com/anjilab/secure-private-ai

공식 코드

Adversarial Robustness Analysis of Vision-Language Models in Medical Image Segmentation

https://github.com/ankur-chr/panoptic_segmentation_nighttime_urban_driving_scenes

공식 코드

Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving Scenes

https://github.com/annazzz-zxq/curriculum-prompting

공식 코드

Curriculum Prompting Foundation Models for Medical Image Segmentation

https://github.com/anok3111/loco

공식 코드

Low-Contrast-Enhanced Contrastive Learning for Semi-Supervised Endoscopic Image Segmentation

https://github.com/anonymous0120/dr

공식 코드

Enhancing Cross-task Black-Box Transferability of Adversarial Examples with Dispersion Reduction

https://github.com/anonymous123-user/Wave_Representations

공식 코드

Traveling Waves Integrate Spatial Information Into Spectral Representations

https://github.com/anonymouse-9c53tp182bvz/vireo

공식 코드

Leveraging Depth and Language for Open-Vocabulary Domain-Generalized Semantic Segmentation

https://github.com/anonymouse-xzrptkvyqc/depthforge

공식 코드

Stronger, Steadier & Superior: Geometric Consistency in Depth VFM Forges Domain Generalized Semantic Segmentation

https://github.com/anonymousoodauthor/abet

공식 코드

Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy

https://github.com/anpc849/QMaxViT-Unet

공식 코드

QMaxViT-Unet+: A Query-Based MaxViT-Unet with Edge Enhancement for Scribble-Supervised Segmentation of Medical Images

https://github.com/anshantju/hdes-net

공식 코드

Real-Time Monocular Human Depth Estimation and Segmentation on Embedded Systems

https://github.com/anthonimes/superpixels-community-detection

공식 코드

Superpixels algorithms through network community detection

https://github.com/anthonymlortiz/epitomes_lsr

공식 코드

Mining self-similarity: Label super-resolution with epitomic representations

https://github.com/anthonymlortiz/lcn

공식 코드

Local Context Normalization: Revisiting Local Normalization

https://github.com/anthonyweidai/SvANet

공식 코드

Exploiting Scale-Variant Attention for Segmenting Small Medical Objects

https://github.com/antoinehabis/Deep-ContourFlow

공식 코드

Deep ContourFlow: Advancing Active Contours with Deep Learning

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.