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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/vivek3141/ghostbuster-data

공식 코드

Ghostbuster: Detecting Text Ghostwritten by Large Language Models

https://github.com/vkakerbeck/FastConceptMapping

공식 코드

Fast Concept Mapping: The Emergence of Human Abilities in Artificial Neural Networks when Learning Embodied and Self-Supervised

https://github.com/vkalogeiton/yto-dataset

공식 코드

Analysing domain shift factors between videos and images for object detection

https://github.com/vladimirescu/robustdehazing

공식 코드

Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing

https://github.com/vlbthambawita/divergent-nets

공식 코드

DivergentNets: Medical Image Segmentation by Network Ensemble

https://github.com/vlbthambawita/singan-seg-polyp

공식 코드

SinGAN-Seg: Synthetic training data generation for medical image segmentation

https://github.com/vlfom/rncdl

공식 코드

Learning to Discover and Detect Objects

https://github.com/vlislab22/Deep-Learning-for-Event-based-Vision

공식 코드

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks

https://github.com/vniclas/lidar_beam_selection

공식 코드

End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization

https://github.com/voidism/lookback-lens

공식 코드

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

https://github.com/vojtech-balek/llm-features

공식 코드

LLM-based feature generation from text for interpretable machine learning

https://github.com/voyazici/visual-transformers-classification

공식 코드

Visual Transformers with Primal Object Queries for Multi-Label Image Classification

https://github.com/vpronina/DeepWienerRestoration

공식 코드

Microscopy Image Restoration with Deep Wiener-Kolmogorov filters

https://github.com/vs-cv/sf-yolo

공식 코드

Source-Free Domain Adaptation for YOLO Object Detection

https://github.com/vskadandale/vocalist

공식 코드

VocaLiST: An Audio-Visual Synchronisation Model for Lips and Voices

https://github.com/vsuarezpaniagua/newslocation

공식 코드

Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base

https://github.com/w-zx-y/sm-ppm

공식 코드

Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation

https://github.com/w4k2/warcow

공식 코드

WarCov -- Large multilabel and multimodal dataset from social platform

https://github.com/waltafwilliams/amdet

공식 코드

AMDet: A Tool for Mitotic Cell Detection in Histopathology Slides

https://github.com/walzimmer/3d-bat

공식 코드

TUMTraf V2X Cooperative Perception Dataset

https://github.com/wandahangfy/yolov11-rgbt

공식 코드

YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework

https://github.com/wang-chen/KCC

공식 코드

Kernel Cross-Correlator

https://github.com/wangbing1416/daedcmd

공식 코드

Remember Past, Anticipate Future: Learning Continual Multimodal Misinformation Detectors

https://github.com/wangbing1416/hami-m3d

공식 코드

Harmfully Manipulated Images Matter in Multimodal Misinformation Detection

https://github.com/wangbing1416/md-pcc

공식 코드

Robust Misinformation Detection by Visiting Potential Commonsense Conflict

https://github.com/wangbo-zhao/WSVSOD

공식 코드

Weakly Supervised Video Salient Object Detection

https://github.com/wangchen1801/fpd

공식 코드

Fine-Grained Prototypes Distillation for Few-Shot Object Detection

https://github.com/wangck20/globalmamba

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GlobalMamba: Global Image Serialization for Vision Mamba

https://github.com/wangck20/opera

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OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions

https://github.com/wangck20/v2m

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V2M: Visual 2-Dimensional Mamba for Image Representation Learning

https://github.com/wangclnlp/csem

공식 코드

Learning Evaluation Models from Large Language Models for Sequence Generation

https://github.com/wanggrun/Adaptively-Connected-Neural-Networks

공식 코드

Adaptively Connected Neural Networks

https://github.com/wangguanan/denoiserep

공식 코드

DenoiseRep: Denoising Model for Representation Learning

https://github.com/wangguojun2018/CenterNet3d

공식 코드

CenterNet3D: An Anchor Free Object Detector for Point Cloud

https://github.com/wangguojun2018/MVAF-Net

공식 코드

Multi-View Adaptive Fusion Network for 3D Object Detection

https://github.com/wanghangpsu/mm-bd

공식 코드

MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic

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