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2D Classification

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

https://github.com/YatingMusic/MuseMorphose

공식 코드

MuseMorphose: Full-Song and Fine-Grained Piano Music Style Transfer with One Transformer VAE

https://github.com/YeLyuUT/VOSDetectron

공식 코드

Plug & Play Convolutional Regression Tracker for Video Object Detection

https://github.com/YeRen123455/Infrared-Small-Target-Detection

공식 코드

Dense Nested Attention Network for Infrared Small Target Detection

https://github.com/YemanBrhane/AwareNet

공식 코드

Cell abundance aware deep learning for cell detection on highly imbalanced pathological data

https://github.com/YeolJ00/faster-rcnn-pytorch

공식 코드

Graudally Applying Weakly Supervised and Active Learning for Mass Detection in Breast Ultrasound Images

https://github.com/YeongjinOh/Sushi-Dish

공식 코드

Sushi Dish - Object detection and classification from real images

https://github.com/Yijunmaverick/UniversalStyleTransfer

공식 코드

Universal Style Transfer via Feature Transforms

https://github.com/YilunZhou/wikihow-embedding

공식 코드

Learning Household Task Knowledge from WikiHow Descriptions

https://github.com/YingjieHu/CityRelatednessViaNews

공식 코드

Extracting and Analyzing Semantic Relatedness between Cities Using News Articles

https://github.com/YinminZhang/MonoGeo

공식 코드

Learning Geometry-Guided Depth via Projective Modeling for Monocular 3D Object Detection

https://github.com/Yonsei-STL/pix2next

공식 코드

Pix2Next: Leveraging Vision Foundation Models for RGB to NIR Image Translation

https://github.com/YooJiHyeong/SinIR

공식 코드

SinIR: Efficient General Image Manipulation with Single Image Reconstruction

https://github.com/York-SDCNLab/Ghost-DeblurGAN

공식 코드

Application of Ghost-DeblurGAN to Fiducial Marker Detection

https://github.com/YoungSeng/SRD-VC

공식 코드

Speech Representation Disentanglement with Adversarial Mutual Information Learning for One-shot Voice Conversion

https://github.com/YoushaaMurhij/FMFNet

공식 코드

Real-time 3D Object Detection using Feature Map Flow

https://github.com/YouzhiTian/Structured-Content-Preservation-for-Unsupervised-Text-Style-Transfer

공식 코드

Structured Content Preservation for Unsupervised Text Style Transfer

https://github.com/YueLiao/CDN

공식 코드

Mining the Benefits of Two-stage and One-stage HOI Detection

https://github.com/YueLiao/PPDM

공식 코드

PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection

https://github.com/YuemingJin/MTRCNet-CL

공식 코드

Multi-Task Recurrent Convolutional Network with Correlation Loss for Surgical Video Analysis

https://github.com/Yuliang-Liu/TIoU-metric

공식 코드

Tightness-aware Evaluation Protocol for Scene Text Detection

https://github.com/Yuri3-xr/NMS-Bench

공식 코드

Accelerating Non-Maximum Suppression: A Graph Theory Perspective

https://github.com/YuvalNirkin/hyperseg

공식 코드

HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation

https://github.com/YuxingLu613/KARMA

공식 코드

KARMA: Leveraging Multi-Agent LLMs for Automated Knowledge Graph Enrichment

https://github.com/Yuxuan-Wen/Sim2real-Guidewire-Seg

공식 코드

Generalizing Segmentation Foundation Model Under Sim-to-real Domain-shift for Guidewire Segmentation in X-ray Fluoroscopy

https://github.com/Yzichen/FlashOCC

공식 코드

FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

https://github.com/Z-T-WANG/LaProp-Optimizer

공식 코드

LaProp: Separating Momentum and Adaptivity in Adam

https://github.com/ZFTurbo/Weighted-Boxes-Fusion

공식 코드

Weighted boxes fusion: Ensembling boxes from different object detection models

https://github.com/ZHANGHeng19931123/CFR

공식 코드

Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks

https://github.com/ZHANGHeng19931123/MutualGuide

공식 코드

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

https://github.com/ZHKKKe/NeuralPreset

공식 코드

Neural Preset for Color Style Transfer

https://github.com/ZJULearning/COP

공식 코드

COP: Customized Deep Model Compression via Regularized Correlation-Based Filter-Level Pruning

https://github.com/ZJULearning/CariFaceParsing

공식 코드

Weakly-supervised Caricature Face Parsing through Domain Adaptation

https://github.com/ZJULearning/ttfnet

공식 코드

Training-Time-Friendly Network for Real-Time Object Detection

https://github.com/ZLeopard/PEDCC-Loss

공식 코드

A New Loss Function for CNN Classifier Based on Pre-defined Evenly-Distributed Class Centroids

https://github.com/ZPDu/Boosting-Object-Detection-with-Zero-Shot-Day-Night-Domain-Adaptation

공식 코드

Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation

https://github.com/ZRandomize/MatrixVT

공식 코드

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception

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