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Scene Parsing

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하위 태스크: 9
평가표: 2
보존된 평가 기록: 3

Scene parsing is to segment and parse an image into different image regions associated with semantic categories, such as sky, road, person, and bed. MIT Description

코드

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

https://github.com/hkust-aerial-robotics/emsgc

공식 코드

Event-based Motion Segmentation with Spatio-Temporal Graph Cuts

https://github.com/hkust-longgroup/cfa

공식 코드

Compositional Feature Augmentation for Unbiased Scene Graph Generation

https://github.com/hkust-vgd/riconv

공식 코드

Rotation Invariant Convolutions for 3D Point Clouds Deep Learning

https://github.com/hlei-ziyan/Picasso

공식 코드

Mesh Convolution with Continuous Filters for 3D Surface Parsing

https://github.com/hluo29/rcnet

공식 코드

RCNet: Deep Recurrent Collaborative Network for Multi-View Low-Light Image Enhancement

https://github.com/hmxiong/3ur-llm

공식 코드

3UR-LLM: An End-to-End Multimodal Large Language Model for 3D Scene Understanding

https://github.com/hongje/hmmn

공식 코드

Hierarchical Memory Matching Network for Video Object Segmentation

https://github.com/hszhao/PSPNet

공식 코드

Pyramid Scene Parsing Network

https://github.com/huaaaliu/rgbx_semantic_segmentation

공식 코드

CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers

https://github.com/huangkun101230/360mtlgeometricestimation

공식 코드

Multi-task Geometric Estimation of Depth and Surface Normal from Monocular 360° Images

https://github.com/huixiancheng/cenet

공식 코드

CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving

https://github.com/hukenovs/easyportrait

공식 코드

EasyPortrait -- Face Parsing and Portrait Segmentation Dataset

https://github.com/hustvl/senna

공식 코드

Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving

https://github.com/hwansoo-choi/cognitive-transfuser

공식 코드

Cognitive TransFuser: Semantics-guided Transformer-based Sensor Fusion for Improved Waypoint Prediction

https://github.com/hy0523/mtnet

공식 코드

Learning Motion and Temporal Cues for Unsupervised Video Object Segmentation

https://github.com/hydragon516/dpa

공식 코드

Dual Prototype Attention for Unsupervised Video Object Segmentation

https://github.com/hydragon516/gsanet

공식 코드

Guided Slot Attention for Unsupervised Video Object Segmentation

https://github.com/hydropml/disasternets

공식 코드

DisasterNets: Embedding Machine Learning in Disaster Mapping

https://github.com/hysonlab/tesgraph

공식 코드

TESGNN: Temporal Equivariant Scene Graph Neural Networks for Efficient and Robust Multi-View 3D Scene Understanding

https://github.com/hzxie/RMNet

공식 코드

Efficient Regional Memory Network for Video Object Segmentation

https://github.com/ibug-group/fpage

공식 코드

FP-Age: Leveraging Face Parsing Attention for Facial Age Estimation in the Wild

https://github.com/icemansina/LSTM-CF

공식 코드

LSTM-CF: Unifying Context Modeling and Fusion with LSTMs for RGB-D Scene Labeling

https://github.com/icitylab/hspr

공식 코드

Hierarchical Spatial Proximity Reasoning for Vision-and-Language Navigation

https://github.com/iduta/pyconv

공식 코드

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition

https://github.com/ihaeyong/unbiased-sgg

공식 코드

Skew Class-balanced Re-weighting for Unbiased Scene Graph Generation

https://github.com/iliasprc/slrzoo

공식 코드

A Comprehensive Study on Deep Learning-based Methods for Sign Language Recognition

https://github.com/imatge-upc/rvos-mots

공식 코드

Curriculum Learning for Recurrent Video Object Segmentation

https://github.com/imoneoi/carla_env

공식 코드

A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving

https://github.com/imoneoi/onerl

공식 코드

A Versatile and Efficient Reinforcement Learning Framework for Autonomous Driving

https://github.com/imran2205/logicrag

공식 코드

Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding

https://github.com/imsy-dkfz/htc

공식 코드

Robust deep learning-based semantic organ segmentation in hyperspectral images

https://github.com/insomnia94/FTMU

공식 코드

Fast Template Matching and Update for Video Object Tracking and Segmentation

https://github.com/instance-based-loc/instance-based-loc

공식 코드

Towards Global Localization using Multi-Modal Object-Instance Re-Identification

https://github.com/intellisensing/rs-agent

공식 코드

RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent

https://github.com/irfanICMLL/structure_knowledge_distillation

공식 코드

Structured Knowledge Distillation for Dense Prediction

https://github.com/isee-laboratory/referdino-plus

공식 코드

ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025

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