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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/sangminwoo/Temporal-Span-Proposal-Network-VidVRD

공식 코드

What and When to Look?: Temporal Span Proposal Network for Video Relation Detection

https://github.com/sarashoouri/efficientmtl

공식 코드

Efficient Computation Sharing for Multi-Task Visual Scene Understanding

https://github.com/sayaknag/unbiasedsgg

공식 코드

Unbiased Scene Graph Generation in Videos

https://github.com/sbrunoberenguel/fredsnet

공식 코드

FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions

https://github.com/scarecrow0/sgtr

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SGTR: End-to-end Scene Graph Generation with Transformer

https://github.com/scenediffuser/Scene-Diffuser

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Diffusion-based Generation, Optimization, and Planning in 3D Scenes

https://github.com/schmiddo/d2conv3d

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D^2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos

https://github.com/scott-yjyang/vivim

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Vivim: a Video Vision Mamba for Medical Video Segmentation

https://github.com/scut-dlvclab/gpt-4v_ocr

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Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation

https://github.com/seanzhuh/awesome-open-vocabulary-detection-and-segmentation

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A Survey on Open-Vocabulary Detection and Segmentation: Past, Present, and Future

https://github.com/segmentationblwx/sssegmentation

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MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation

https://github.com/selgroup/sit-hss

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Hierarchical Superpixel Segmentation via Structural Information Theory

https://github.com/sephirex-x/latentdriver

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Learning Multiple Probabilistic Decisions from Latent World Model in Autonomous Driving

https://github.com/sercant/mobile-segmentation

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An efficient solution for semantic segmentation: ShuffleNet V2 with atrous separable convolutions

https://github.com/serenos/di-v2x

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DI-V2X: Learning Domain-Invariant Representation for Vehicle-Infrastructure Collaborative 3D Object Detection

https://github.com/serenos/lwsis

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LWSIS: LiDAR-guided Weakly Supervised Instance Segmentation for Autonomous Driving

https://github.com/seung-b/fl-psg

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Benchmarking Federated Learning for Semantic Datasets: Federated Scene Graph Generation

https://github.com/shangweihung/LDFNet

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Incorporating Luminance, Depth and Color Information by a Fusion-based Network for Semantic Segmentation

https://github.com/shanshuo/ml-mwn

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Multi-Label Meta Weighting for Long-Tailed Dynamic Scene Graph Generation

https://github.com/shanshuo/social-fabric

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Social Fabric: Tubelet Compositions for Video Relation Detection

https://github.com/shaohuadong2021/dplnet

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Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning

https://github.com/shaohuadong2021/egfnet

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Edge-aware Guidance Fusion Network for RGB Thermal Scene Parsing

https://github.com/shaoyuanlo/stpl

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Spatio-Temporal Pixel-Level Contrastive Learning-based Source-Free Domain Adaptation for Video Semantic Segmentation

https://github.com/sharpershape/eclair-dataset

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ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation

https://github.com/shelhamer/revolver

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Few-Shot Segmentation Propagation with Guided Networks

https://github.com/shengtao96/centripetaltext

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CentripetalText: An Efficient Text Instance Representation for Scene Text Detection

https://github.com/shengyu-feng/dsg-detr

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Exploiting Long-Term Dependencies for Generating Dynamic Scene Graphs

https://github.com/shenzheng2000/instance-warp

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Instance-Warp: Saliency Guided Image Warping for Unsupervised Domain Adaptation

https://github.com/shenzheng2000/tpsence

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TPSeNCE: Towards Artifact-Free Realistic Rain Generation for Deraining and Object Detection in Rain

https://github.com/shibshib/Moe-VRD

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Video Relationship Detection Using Mixture of Experts

https://github.com/shikha-gist/image-captioning

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Label-Attention Transformer with Geometrically Coherent Objects for Image Captioning

https://github.com/shikorab/SceneGraph

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Mapping Images to Scene Graphs with Permutation-Invariant Structured Prediction

https://github.com/shilinyan99/panovos

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PanoVOS: Bridging Non-panoramic and Panoramic Views with Transformer for Video Segmentation

https://github.com/shinke-li/Campus3D

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Campus3D: A Photogrammetry Point Cloud Benchmark for Hierarchical Understanding of Outdoor Scene

https://github.com/showlab/sam-i2v

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SAM-I2V: Upgrading SAM to Support Promptable Video Segmentation with Less than 0.2% Training Cost

https://github.com/showlab/videolisa

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One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos

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