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Scene Parsing

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전체 기법 전체 데이터셋

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/xw-hu/unveiling-deep-shadows

공식 코드

Unveiling Deep Shadows: A Survey and Benchmark on Image and Video Shadow Detection, Removal, and Generation in the Deep Learning Era

https://github.com/xxlong0/CNMNet

공식 코드

Occlusion-Aware Depth Estimation with Adaptive Normal Constraints

https://github.com/ya0-sun/str-berlin

공식 코드

Towards Large-scale Building Attribute Mapping using Crowdsourced Images: Scene Text Recognition on Flickr and Problems to be Solved

https://github.com/yahidar/transradar

공식 코드

TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation

https://github.com/yang-li-2000/distance-aware-occlusion-detection-with-focused-attention

공식 코드

Distance-Aware Occlusion Detection with Focused Attention

https://github.com/yangxue0827/STAR-MMRotate

공식 코드

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

https://github.com/yangxue0827/rsg-mmrotate

공식 코드

STAR: A First-Ever Dataset and A Large-Scale Benchmark for Scene Graph Generation in Large-Size Satellite Imagery

https://github.com/yanhaowu/oessl

공식 코드

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

https://github.com/yanx27/clevr3d

공식 코드

Comprehensive Visual Question Answering on Point Clouds through Compositional Scene Manipulation

https://github.com/yaohungt/GSTEG_CVPR_2019

공식 코드

Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph

https://github.com/ybarancan/bev_feat_stitch

공식 코드

Understanding Bird's-Eye View of Road Semantics using an Onboard Camera

https://github.com/ybarancan/stsu

공식 코드

Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images

https://github.com/ydhongHIT/DDRNet

공식 코드

Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes

https://github.com/yec22/fine-grained-indoor-recon

공식 코드

Indoor Scene Reconstruction with Fine-Grained Details Using Hybrid Representation and Normal Prior Enhancement

https://github.com/yekeren/WSSGG

공식 코드

Linguistic Structures as Weak Supervision for Visual Scene Graph Generation

https://github.com/yeyimilk/deep-learning-for-manatee-counting

공식 코드

Counting Manatee Aggregations using Deep Neural Networks and Anisotropic Gaussian Kernel

https://github.com/yhc2021/avs-net

공식 코드

AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding

https://github.com/yichen928/STRL

공식 코드

Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds

https://github.com/yichizhang98/sam4mis

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Unleashing the Potential of SAM2 for Biomedical Images and Videos: A Survey

https://github.com/yifanlu0227/chatsim

공식 코드

Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents

https://github.com/yikang-li/FactorizableNet

공식 코드

Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation

https://github.com/yikang-li/MSDN

공식 코드

Scene Graph Generation from Objects, Phrases and Region Captions

https://github.com/yinyunie/RfDNet

공식 코드

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction

https://github.com/yinyunie/Total3DUnderstanding

공식 코드

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

https://github.com/yiwuzhong/sgg_from_nls

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Learning to Generate Scene Graph from Natural Language Supervision

https://github.com/yjcaimeow/SISNet

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Semantic Scene Completion via Integrating Instances and Scene in-the-Loop

https://github.com/yjxiong/caffe

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Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs

https://github.com/yk-pku/two-shot-video-object-segmentation

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Two-shot Video Object Segmentation

https://github.com/ykarmesh/stable-control-representations

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Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for Control

https://github.com/ykiwu/embodiedocc

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EmbodiedOcc: Embodied 3D Occupancy Prediction for Vision-based Online Scene Understanding

https://github.com/ylochman/single-view-autocalib

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Minimal Solvers for Single-View Lens-Distorted Camera Auto-Calibration

https://github.com/yolomax/umtf

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Unsupervised Person Re-Identification with Wireless Positioning under Weak Scene Labeling

https://github.com/youjunzhao/openscan

공식 코드

OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding

https://github.com/youngfly11/ReIR-WeaklyGrounding.pytorch

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Relation-aware Instance Refinement for Weakly Supervised Visual Grounding

https://github.com/yoxu515/aot-benchmark

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Scalable Video Object Segmentation with Identification Mechanism

https://github.com/yoxu515/mits

공식 코드

Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation

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