Papers with Code 아카이브

2D Semantic Segmentation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

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하위 태스크

17

평가표

11

보존된 평가 기록

42

코드

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

https://github.com/cwbabel/faster-cnn

Mask R-CNN

https://github.com/cxmomo/Neighbor-Vote

Neighbor-Vote: Improving Monocular 3D Object Detection through Neighbor Distance Voting

https://github.com/cy-xu/spatially_aware_ai

Segment Everything Everywhere All at Once

https://github.com/cyrilminaeff/MobileNet

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/czarmanu/deeplab-lakeice-webcams

Lake Ice Monitoring with Webcams and Crowd-Sourced Images

https://github.com/czarmanu/photi-lakeice-dataset

Lake Ice Monitoring with Webcams and Crowd-Sourced Images

https://github.com/czarmanu/sentinel_lakeice

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/d-gurgurov/im2latex

TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models

https://github.com/d-li14/mobilenetv2.pytorch

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/dajes/DensePose-TorchScript

Rethinking Atrous Convolution for Semantic Image Segmentation

https://github.com/damaggu/tadp

Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

https://github.com/damo-cv/motionrgbd

Multi-stage Factorized Spatio-Temporal Representation for RGB-D Action and Gesture Recognition

https://github.com/danfenghong/IEEE_TPAMI_SpectralGPT

SpectralGPT: Spectral Remote Sensing Foundation Model

https://github.com/dani-capellan/ptb_lungregionextractor

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

https://github.com/danielenricocahall/Keras-SegNet

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

https://github.com/danielenricocahall/Keras-UNet

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/dantong88/llarva

Unsupervised Universal Image Segmentation

https://github.com/darlinghang/st-nerf

Editable Free-viewpoint Video Using a Layered Neural Representation

https://github.com/datoboat/Vehicle-Detection

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

https://github.com/dattatrayshinde/oc_sd

CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes

https://github.com/daveboat/spp

Pyramid Scene Parsing Network

https://github.com/daveboat/structured_label_inference

Structured Label Inference for Visual Understanding

https://github.com/davidgolub/charizard

Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer

https://github.com/davidiommi/Pytorch--3D-Medical-Images-Segmentation--SALMON

UNETR: Transformers for 3D Medical Image Segmentation

https://github.com/davidtvs/Keras-LinkNet

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

https://github.com/davyneven/fastSceneUnderstanding

Fast Scene Understanding for Autonomous Driving

https://github.com/daxiaHuang/brainstorm

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/dbailey00/Semantic-Segmentation-With-Seismic-Images

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/dbaofd/solar-panels-detection

Fast-SCNN: Fast Semantic Segmentation Network

https://github.com/dcnieho/segment-anything-2

SAM 2: Segment Anything in Images and Videos

https://github.com/debeshjha/resunetplusplus-with-crf-and-tta

ResUNet++: An Advanced Architecture for Medical Image Segmentation

https://github.com/decentNick/Signals_big_lab_SPBSTU

U-Net: Convolutional Networks for Biomedical Image Segmentation

https://github.com/decile-team/cords

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

https://github.com/deep-learning-algorithm/LightWeightCNN

MobileNetV2: Inverted Residuals and Linear Bottlenecks

https://github.com/deepsuncode/SolarUnet

Identifying and Tracking Solar Magnetic Flux Elements with Deep Learning

https://github.com/delldu/MaskRCNN

Mask R-CNN

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