Papers with Code 아카이브

Scene Understanding

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하위 태스크: 6
평가표: 3
보존된 평가 기록: 5

Scene understanding involves interpreting the visual information of a scene, including objects, their spatial relationships, and the overall layout. It goes beyond simple object recognition by considering the context and how objects relate to each other and the environment.

코드

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

https://github.com/AzogDefiler/Sandbox

Fully Convolutional Networks for Semantic Segmentation

https://github.com/BOBrown/deeparsing-master

Pyramid Scene Parsing Network

https://github.com/BehradToghi/ConvLSTM_VOS

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

https://github.com/BehradToghi/ECCV_Youtube_VOS

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

https://github.com/BinaLab/FloodNet-Challenge-EARTHVISION2021

FloodNet: A High Resolution Aerial Imagery Dataset for Post Flood Scene Understanding

https://github.com/Burf/tfdetection

Fully Convolutional Networks for Semantic Segmentation

https://github.com/CSAILVision/semantic-segmentation-pytorch

Pyramid Scene Parsing Network

https://github.com/CV-Reimplementation/DHAN-reimplementation

Towards Ghost-free Shadow Removal via Dual Hierarchical Aggregation Network and Shadow Matting GAN

https://github.com/CaptainEven/MonoDepthV2

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/Ceachi/Project-Self-Driving-Car-Advanced-Lane-Lines

Fully Convolutional Networks for Semantic Segmentation

https://github.com/CellSMB/EM-net

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/Charmve/Semantic-Segmentation-PyTorch/blob/master/models/seg_net.py

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/ChenMicky/FCN

Fully Convolutional Networks for Semantic Segmentation

https://github.com/ChenyangLEI/deep-video-prior

AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation

https://github.com/CyxFTS/Scenne-illumination-estimation-from-single-image

Deep Outdoor Illumination Estimation

https://github.com/DaiLisen/Eye-gaze-Point-Detection-Modified-sec-

Fully Convolutional Networks for Semantic Segmentation

https://github.com/DarkGeekMS/Semantic_Segmentation_Models_Keras

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

https://github.com/DdeGeus/single-network-panoptic-segmentation

Single Network Panoptic Segmentation for Street Scene Understanding

https://github.com/Deci-AI/super-gradients

ShelfNet for Fast Semantic Segmentation

https://github.com/DiMarzioRock7/Aerial-Semantic-Segmentation-Drone

Pyramid Scene Parsing Network

https://github.com/DiMarzioRock7/PSPNet

Pyramid Scene Parsing Network

https://github.com/DiffusionLight/DiffusionLight-evaluation

Editable Indoor Lighting Estimation

https://github.com/DirtyHarryLYL/HAKE

HAKE: A Knowledge Engine Foundation for Human Activity Understanding

https://github.com/DoTung-bkhn/multiclass-segmentation

Pyramid Scene Parsing Network

https://github.com/DrBoltzmann/CarND-Semantic-Segmentation

Fully Convolutional Networks for Semantic Segmentation

https://github.com/DreadPiratePsyopus/Pytorch-yolo-phoc

Single Shot Scene Text Retrieval

https://github.com/EMalagoli92/OD-Metrics

Microsoft COCO: Common Objects in Context

https://github.com/ESA-PhiLab/PhilEO-MajorTOM

Unified Perceptual Parsing for Scene Understanding

https://github.com/Elhoseiny-VisionCAIR-Lab/LTVRR

Exploring Long Tail Visual Relationship Recognition with Large Vocabulary

https://github.com/EquipoVandV/mmactionVandV

Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective

https://github.com/ErenO/segmentation-dataset

DeepScores -- A Dataset for Segmentation, Detection and Classification of Tiny Objects

https://github.com/EricWiener/point-cloud-de-noising

CNN-based Lidar Point Cloud De-Noising in Adverse Weather

https://github.com/EvaBr/AnatomyNets

Pyramid Scene Parsing Network

https://github.com/FaceOnLive/Realtime-Background-Changer-SDK-Android

UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces

https://github.com/FangGet/tf-monodepth2

Digging Into Self-Supervised Monocular Depth Estimation

https://github.com/Fangrn/caffe-segnet

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

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