Papers with Code 아카이브

2D Semantic Segmentation

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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/gqding/SUDF

공식 코드

Salient object detection on hyperspectral images using features learned from unsupervised segmentation task

https://github.com/griffbr/BubbleNets

공식 코드

BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames

https://github.com/griffbr/ODMS

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Learning Object Depth from Camera Motion and Video Object Segmentation

https://github.com/griffbr/TIS

공식 코드

Tukey-Inspired Video Object Segmentation

https://github.com/griffbr/supervoxel-gerrymandering

공식 코드

Video Object Segmentation using Supervoxel-Based Gerrymandering

https://github.com/gritzner/segforestnet

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SegForestNet: Spatial-Partitioning-Based Aerial Image Segmentation

https://github.com/gruberto/Gated2Depth

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Gated2Depth: Real-time Dense Lidar from Gated Images

https://github.com/gsarti/it5

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IT5: Text-to-text Pretraining for Italian Language Understanding and Generation

https://github.com/gt-salt/positive-frames

공식 코드

Inducing Positive Perspectives with Text Reframing

https://github.com/guanghaozhu663/astmatch

공식 코드

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation

https://github.com/guangyliu/EISL

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Don't Take It Literally: An Edit-Invariant Sequence Loss for Text Generation

https://github.com/guangyliu/latentops

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Composable Text Controls in Latent Space with ODEs

https://github.com/guanw-pku/oed

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OED: Towards One-stage End-to-End Dynamic Scene Graph Generation

https://github.com/gugarosa/opfython

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OPFython: A Python-Inspired Optimum-Path Forest Classifier

https://github.com/gugu511yy/ptq4ris

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PTQ4RIS: Post-Training Quantization for Referring Image Segmentation

https://github.com/gugull123/stac

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Shape Transformation Driven by Active Contour for Class-Imbalanced Semi-Supervised Medical Image Segmentation

https://github.com/guigzos/crossmodalgba

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Cross-modal tumor segmentation using generative blending augmentation and self training

https://github.com/guikunchen/sdsgg

공식 코드

Scene Graph Generation with Role-Playing Large Language Models

https://github.com/guillermo-jimenez/ECGDelNet

공식 코드

ECG-DelNet: Delineation of Ambulatory Electrocardiograms with Mixed Quality Labeling Using Neural Networks

https://github.com/guoleisun/indiscernible-object-counting

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RGB-D Indiscernible Object Counting in Underwater Scenes

https://github.com/guoleisun/vss-cffm

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Learning Local and Global Temporal Contexts for Video Semantic Segmentation

https://github.com/guoleisun/vss-mrcfa

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Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation

https://github.com/guoxy25/Ocean-OCR

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Ocean-OCR: Towards General OCR Application via a Vision-Language Model

https://github.com/guoyongcs/AEGAN

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Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis

https://github.com/gvalvano/adversarial-test-time-training

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Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts

https://github.com/gvalvano/multiscale-adversarial-attention-gates

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Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates

https://github.com/gwenzhang/GGA

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General Geometry-aware Weakly Supervised 3D Object Detection

https://github.com/gyglim/dvn

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Deep Value Networks Learn to Evaluate and Iteratively Refine Structured Outputs

https://github.com/gyy8426/os-sgg

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One-shot Scene Graph Generation

https://github.com/haail/glog-csunet

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GLoG-CSUnet: Enhancing Vision Transformers with Adaptable Radiomic Features for Medical Image Segmentation

https://github.com/hailieqh/3d-object-primitive-graph

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Single Image 3D Object Estimation with Primitive Graph Networks

https://github.com/halleewong/ScribblePrompt

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ScribblePrompt: Fast and Flexible Interactive Segmentation for Any Biomedical Image

https://github.com/hanbobizl/dmnet

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Not Just Learning from Others but Relying on Yourself: A New Perspective on Few-Shot Segmentation in Remote Sensing

https://github.com/hanshounsu/d3rm

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D3RM: A Discrete Denoising Diffusion Refinement Model for Piano Transcription

https://github.com/hanxunyu/inst3d-lmm

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Inst3D-LMM: Instance-Aware 3D Scene Understanding with Multi-modal Instruction Tuning

https://github.com/hanyue1648/reft

공식 코드

Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation

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