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Semantic Segmentation

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하위 태스크

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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/dvlab-research/mask-attention-free-transformer

공식 코드

Mask-Attention-Free Transformer for 3D Instance Segmentation

https://github.com/dvlab-research/panopticfcn

공식 코드

Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision

https://github.com/dvlab-research/parametric-contrastive-learning

공식 코드

Generalized Parametric Contrastive Learning

https://github.com/dvlab-research/proposereduce

공식 코드

Video Instance Segmentation with a Propose-Reduce Paradigm

https://github.com/dvlab-research/sphereformer

공식 코드

Spherical Transformer for LiDAR-based 3D Recognition

https://github.com/dvlab-research/stratified-transformer

공식 코드

Stratified Transformer for 3D Point Cloud Segmentation

https://github.com/dvlab-research/tagclip

공식 코드

TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation

https://github.com/dvssajay/Ikshana-A-Theory-of-Human-Scene-Understanding-Mechanism

공식 코드

The Ikshana Hypothesis of Human Scene Understanding

https://github.com/dvssajay/PDFNet-Pointwise-Dense-Flow-Network-for-Urban-Scene-Segmentation

공식 코드

PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation

https://github.com/dwang181/selectivecal

공식 코드

On Calibrating Semantic Segmentation Models: Analyses and An Algorithm

https://github.com/dyh127/Modeling-the-Probabilistic-Distribution-of-Unlabeled-Data

공식 코드

Modeling the Probabilistic Distribution of Unlabeled Data forOne-shot Medical Image Segmentation

https://github.com/dyh127/s2vnet

공식 코드

Clustering Propagation for Universal Medical Image Segmentation

https://github.com/dylanauty/mde-biological-vision-systems

공식 코드

Monocular Depth Estimation Using Cues Inspired by Biological Vision Systems

https://github.com/dywu98/SIRFP

공식 코드

Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation

https://github.com/dyxu-cuhkcse/smg-learning

공식 코드

Towards Synchronous Memorizability and Generalizability with Site-Modulated Diffusion Replay for Cross-Site Continual Segmentation

https://github.com/dyzhang09/sam3d

공식 코드

SAM3D: Zero-Shot 3D Object Detection via Segment Anything Model

https://github.com/dzh19990407/lbdt

공식 코드

Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation

https://github.com/dzh19990407/ppmn

공식 코드

PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding

https://github.com/dzhaoxd/seco

공식 코드

Semantic Connectivity-Driven Pseudo-labeling for Cross-domain Segmentation

https://github.com/eBay/modanet

공식 코드

ModaNet: A Large-Scale Street Fashion Dataset with Polygon Annotations

https://github.com/eaphan/nclr

공식 코드

Self-supervised Learning of LiDAR 3D Point Clouds via 2D-3D Neural Calibration

https://github.com/earth-insights/semi-supervised-semantic-segmentation-with-distillation

공식 코드

RS-MTDF: Multi-Teacher Distillation and Fusion for Remote Sensing Semi-Supervised Semantic Segmentation

https://github.com/earthnets/rsi-mmsegmentation

공식 코드

GAMUS: A Geometry-aware Multi-modal Semantic Segmentation Benchmark for Remote Sensing Data

https://github.com/easton-cau/SOTR

공식 코드

SOTR: Segmenting Objects with Transformers

https://github.com/easywalk-prin/opennav

공식 코드

OpenNav: Efficient Open Vocabulary 3D Object Detection for Smart Wheelchair Navigation

https://github.com/eatbeanss/CSWin-UNet

공식 코드

CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation

https://github.com/eceisik/FeTS_Challenge_METU_FL_Team

공식 코드

Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation

https://github.com/eceo-epfl/coralscapesScripts

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The Coralscapes Dataset: Semantic Scene Understanding in Coral Reefs

https://github.com/eceo-epfl/mammalps

공식 코드

MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

https://github.com/eceo-epfl/scaleprotoseg

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Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation

https://github.com/echigot/cactif

공식 코드

Style Transfer with Diffusion Models for Synthetic-to-Real Domain Adaptation

https://github.com/ecker-lab/treelearn

공식 코드

TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds

https://github.com/eckotan0804/flying-guide-dog

공식 코드

Flying Guide Dog: Walkable Path Discovery for the Visually Impaired Utilizing Drones and Transformer-based Semantic Segmentation

https://github.com/edadepthmde/edadepth_icmla

공식 코드

EDADepth: Enhanced Data Augmentation for Monocular Depth Estimation

https://github.com/eddy6081/pen

공식 코드

The Projection-Enhancement Network (PEN)

https://github.com/eden500/Noisy-Labels-Instance-Segmentation

공식 코드

Benchmarking Label Noise in Instance Segmentation: Spatial Noise Matters

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