Papers with Code 아카이브

2D Object Detection

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

전체 기법전체 데이터셋

하위 태스크

15

평가표

20

보존된 평가 기록

57

코드

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

https://github.com/Karel911/TRACER

공식 코드

TRACER: Extreme Attention Guided Salient Object Tracing Network

https://github.com/Keep-Passion/GACN

공식 코드

End-to-End Learning for Simultaneously Generating Decision Map and Multi-Focus Image Fusion Result

https://github.com/KenYu910645/perspective-aware-convolution

공식 코드

Perspective-aware Convolution for Monocular 3D Object Detection

https://github.com/KevinKecc/SRN

공식 코드

SRN: Side-output Residual Network for Object Reflection Symmetry Detection and Beyond

https://github.com/KimSoybean/ScratchDet

공식 코드

ScratchDet: Training Single-Shot Object Detectors from Scratch

https://github.com/KiveeDong/CentripetalNet

공식 코드

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection

https://github.com/KostadinovShalon/UAVDetectionTrackingBenchmark

공식 코드

Unmanned Aerial Vehicle Visual Detection and Tracking using Deep Neural Networks: A Performance Benchmark

https://github.com/KostadinovShalon/fever-ood

공식 코드

FEVER-OOD: Free Energy Vulnerability Elimination for Robust Out-of-Distribution Detection

https://github.com/Koukyosyumei/AIJack

공식 코드

AFGI: Towards Accurate and Fast-convergent Gradient Inversion Attack in Federated Learning

https://github.com/Kthyeon/ssfod

공식 코드

Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection

https://github.com/KupynOrest/DeblurGAN

공식 코드

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks

https://github.com/KupynOrest/instance_augmentation

공식 코드

Dataset Enhancement with Instance-Level Augmentations

https://github.com/KyanChen/OvarNet

공식 코드

OvarNet: Towards Open-vocabulary Object Attribute Recognition

https://github.com/L0SG/grouped-ssd-pytorch

공식 코드

Robust End-to-End Focal Liver Lesion Detection using Unregistered Multiphase Computed Tomography Images

https://github.com/LA30/Cas-Gnn

공식 코드

Cascade Graph Neural Networks for RGB-D Salient Object Detection

https://github.com/LCAD-UFES/publications-arruda-ijcnn-2019

공식 코드

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

https://github.com/LKJacky/Differentiable-Model-Scaling

공식 코드

Differentiable Model Scaling using Differentiable Topk

https://github.com/LONGXUANX/CDFormer_code

공식 코드

CDFormer: Cross-Domain Few-Shot Object Detection Transformer Against Feature Confusion

https://github.com/LandskapeAI/triplet-attention

공식 코드

Rotate to Attend: Convolutional Triplet Attention Module

https://github.com/Lans1ng/OSSOD

공식 코드

Semi-Supervised Object Detection with Uncurated Unlabeled Data for Remote Sensing Images

https://github.com/Lans1ng/SFOD-RS

공식 코드

CLIP-Guided Source-Free Object Detection in Aerial Images

https://github.com/Lausannen/NAS-FCOS

공식 코드

NAS-FCOS: Efficient Search for Object Detection Architectures

https://github.com/Layjins/FewShotLearning-tSF

공식 코드

tSF: Transformer-based Semantic Filter for Few-Shot Learning

https://github.com/LayneH/LEWEL

공식 코드

Learning Where to Learn in Cross-View Self-Supervised Learning

https://github.com/LeapLabTHU/ARC

공식 코드

Adaptive Rotated Convolution for Rotated Object Detection

https://github.com/Leedeng/Line-Counter

공식 코드

LineCounter: Learning Handwritten Text Line Segmentation by Counting

https://github.com/LiJiahang617/HAPNet

공식 코드

HAPNet: Toward Superior RGB-Thermal Scene Parsing via Hybrid, Asymmetric, and Progressive Heterogeneous Feature Fusion

https://github.com/LiWentomng/OrientedRepPoints

공식 코드

Oriented RepPoints for Aerial Object Detection

https://github.com/LiYingwei/Regional-Homogeneity

공식 코드

Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses

https://github.com/LiYinqi/DIVE

공식 코드

DIVE: Inverting Conditional Diffusion Models for Discriminative Tasks

https://github.com/Liangbo-Cheng/mamba_capsule

공식 코드

Mamba Capsule Routing Towards Part-Whole Relational Camouflaged Object Detection

https://github.com/LilianHollard/LeYOLO

공식 코드

LeYOLO, New Scalable and Efficient CNN Architecture for Object Detection

https://github.com/LingLIx/THz_Dataset

공식 코드

Active Terahertz Imaging Dataset for Concealed Object Detection

https://github.com/Link2Link/FE_GCN

공식 코드

S-AT GCN: Spatial-Attention Graph Convolution Network based Feature Enhancement for 3D Object Detection

https://github.com/LittlePey/SFD

공식 코드

Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion

https://github.com/Liz66666/SIENet

공식 코드

SIENet: Spatial Information Enhancement Network for 3D Object Detection from Point Cloud

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