Papers with Code 아카이브

2D Classification

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코드

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

https://github.com/VinAIResearch/Warping-based_Backdoor_Attack-release

공식 코드

WaNet -- Imperceptible Warping-based Backdoor Attack

https://github.com/VinAIResearch/blur-kernel-space-exploring

공식 코드

Explore Image Deblurring via Blur Kernel Space

https://github.com/VinAIResearch/input-aware-backdoor-attack-release

공식 코드

Input-Aware Dynamic Backdoor Attack

https://github.com/Vinayak-VG/GAURA

공식 코드

GAURA: Generalizable Approach for Unified Restoration and Rendering of Arbitrary Views

https://github.com/VincentK1991/BERT_summarization_1

공식 코드

Automatic Text Summarization of COVID-19 Medical Research Articles using BERT and GPT-2

https://github.com/VisDrone/DroneCrowd

공식 코드

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark

https://github.com/VisDrone/VisDrone-Dataset

공식 코드

Detection and Tracking Meet Drones Challenge

https://github.com/Visual-Attention-Network/VAN-Classification

공식 코드

Visual Attention Network

https://github.com/VisualAIKHU/SAMPD

공식 코드

Multispectral Pedestrian Detection with Sparsely Annotated Label

https://github.com/Vladimir2506/Pointformer

공식 코드

3D Object Detection with Pointformer

https://github.com/Vprashant/s2-chunking-lib

공식 코드

S2 Chunking: A Hybrid Framework for Document Segmentation Through Integrated Spatial and Semantic Analysis

https://github.com/WISION-Lab/event-nn-pytorch

공식 코드

Event Neural Networks

https://github.com/WISION-Lab/event-nn-tf

공식 코드

Event Neural Networks

https://github.com/WISION-Lab/eventful-transformer

공식 코드

Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers

https://github.com/WU-CVGL/BAD-Gaussians

공식 코드

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

https://github.com/WU-CVGL/BAD-NeRF

공식 코드

BAD-NeRF: Bundle Adjusted Deblur Neural Radiance Fields

https://github.com/WXinlong/ForeSeE

공식 코드

Task-Aware Monocular Depth Estimation for 3D Object Detection

https://github.com/WXinlong/SOLO

공식 코드

SOLOv2: Dynamic and Fast Instance Segmentation

https://github.com/WYFDUT/MonoASRH

공식 코드

Efficient Feature Aggregation and Scale-Aware Regression for Monocular 3D Object Detection

https://github.com/WanXiaopei/aadi

공식 코드

Augmenting Anchors by the Detector Itself

https://github.com/WangJiuniu/ASTRAL

공식 코드

ASTRAL: Adversarial Trained LSTM-CNN for Named Entity Recognition

https://github.com/WangLibo1995/GeoSeg

공식 코드

UNetFormer: A UNet-like Transformer for Efficient Semantic Segmentation of Remote Sensing Urban Scene Imagery

https://github.com/WangYueFt/pillar-od

공식 코드

Pillar-based Object Detection for Autonomous Driving

https://github.com/Wangjing1551/LogoDet-3K-Dataset

공식 코드

LogoDet-3K: A Large-Scale Image Dataset for Logo Detection

https://github.com/WangyiNTU/Point-supervised-crowd-detection

공식 코드

A Self-Training Approach for Point-Supervised Object Detection and Counting in Crowds

https://github.com/WanquanF/RMA-Net

공식 코드

Recurrent Multi-view Alignment Network for Unsupervised Surface Registration

https://github.com/WaterScenes/USVTrack-Baseline-YOLO-Tracking

공식 코드

WaterScenes: A Multi-Task 4D Radar-Camera Fusion Dataset and Benchmarks for Autonomous Driving on Water Surfaces

https://github.com/WeiKangda/LegalCore

공식 코드

LegalCore: A Dataset for Legal Documents Event Coreference Resolution

https://github.com/WeiWangTrento/Robust-Differentiable-SVD

공식 코드

Robust Differentiable SVD

https://github.com/WeiZongqi/CG-Net

공식 코드

Learning Calibrated-Guidance for Object Detection in Aerial Images

https://github.com/WeijingShi/Point-GNN

공식 코드

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

https://github.com/WeishengDong/DPDNN_PyTorch

공식 코드

Denoising Prior Driven Deep Neural Network for Image Restoration

https://github.com/Wendison/VQMIVC

공식 코드

VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

https://github.com/WenqiangX/ese_seg

공식 코드

Explicit Shape Encoding for Real-Time Instance Segmentation

https://github.com/Westlake-AI/A2MIM

공식 코드

Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN

https://github.com/Westlake-AI/MogaNet

공식 코드

MogaNet: Multi-order Gated Aggregation Network

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